Promedio móvil 84

Promedio móvil 84

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Dólar de media móvil de señales de ganar a 84 yenes: Análisis técnico El dólar podría fortalecer más del 5 por ciento frente al yen luego de que la moneda estadounidense excediera su promedio móvil de 200 días, dijeron analistas de Morgan Stanley, citando patrones comerciales. El dólar subió por un octavo día a 79.86 yenes a las 1:37 p.m. tiempo de Londres, la mayor cantidad de ganancias en siete años. El avance lo llevó por encima de la media móvil de 200 días, que estaba en 79,44 yenes hoy, según los datos compilados por Bloomberg. "Esperamos que el dólar-yen aumente las ganancias en las próximas semanas y mantenga nuestra meta de 84", escribieron los estrategas liderados por Hans Redeker, director de estrategia de divisas en Londres, en un reporte enviado por correo electrónico hoy. "El yen es el más débil de las divisas del G-10". La última vez que el dólar negociado por encima de 84 yenes fue el 21 de marzo. La divisa estadounidense subió un 0,5 por ciento en el último mes, según los índices Bloomberg Correlation-Weighted Index, que registran 10 monedas de mercados desarrollados. El yen cayó un 1,9 por ciento. En el análisis técnico, los inversores estudian gráficos de patrones de negociación y precios para predecir cambios en un bono, mercancía, moneda o índice. Promedio móvil de 50 días de Bio-Techne Corp (NASDAQ: TECH): 84,91 Las firmas de investigación que siguen a Bio-Techne Corp (NASDAQ: TECH) han especificado proyecciones de ganancias y precio futuro en acciones. Según el último informe, la acción puede golpear 98.80 en el año que viene. En 2015, la empresa EPS fue 2,65, mientras que EPS para el próximo trimestre puede llegar a 0,92. First Call ha especificado las estimaciones de la EPS para el ejercicio fiscal en curso y próximo, que se sitúa en 3,46 y 3,67, respectivamente. En la sesión de hoy, la acción registró el primer comercio en 86.18, y hasta ahora en el día hizo un mínimo de 85.34 y un máximo de 87.96. N / A está listado en N / A y tiene un tope de mercado de N / A. El volumen diario promedio de 3 meses se registró en acciones. Al negociar acciones en parámetros técnicos, todos los elementos fundamentales que afectan al valor de una acción son aparentemente ya figuran en las listas de acciones. Por lo tanto, un inversor puede reconocer fácilmente la tendencia de las acciones sin tener que explorar todos los tipos de información fundamental que afectan a ese stock. El MA de 50 días de acción es 84.91, y el último precio es distante del último precio. Las acciones de alta en 52 semanas fue y el mínimo de 52 semanas fue. Indica que si las acciones N / A ganan. Puede cruzar el máximo de 52 semanas, y si cae puntos, registrará un mínimo de 52 semanas. Los analistas tiran de la valoración de una empresa mediante la aplicación de índices financieros, incluyendo la relación precio-ganancias. Según el precio más último de la acción, N / A proporción del precio-a-ganancias es. Para este fiscal, la proyección se mantiene en comparación con para el próximo fiscal. ¡Descubre qué acciones pueden convertir cada $ 10,000 en $ 42,749! Es una nueva forma de negociar acciones con una tasa de éxito del 91% al 100%, y ganar entre 8% y 199% en tan sólo 14 días. Esta estrategia no tiene nada que ver con el uso de opciones para cortocircuitar el mercado. De hecho, usted compra acciones de la misma manera que ahora ... pero con una simple diferencia. Detalles Creado en Viernes 18 de Diciembre de 2009 09:42 Escrito por Ivan Yurukov Este indicador es considerado como el más fundamental de los indicadores de tendencia, especialmente porque muestra por un lado la dirección de movimiento de la herramienta y por otro los niveles potenciales de soporte o resistencia. El promedio móvil utiliza el precio promedio del par de divisas al cierre (pero también puede utilizar el precio al abrir o cerrar) y lo almacena en el gráfico. El resultado es una línea bastante ajustada. Puede influir en los valores del indicador a medida que restablece el tiempo de trama que se utiliza para el precio medio al cierre. En períodos cortos el promedio móvil es más nítido. Mientras que los periodos más largos lo hacen suave. El movimiento de las señales comerciales promedio indica el par de divisas dado que sigue la tendencia. Alertas para abrir una posición - cuando el par de divisas está en tendencia ascendente o descendente y el precio comienza a partir de la siguiente tendencia media móvil. Señales para cerrar una posición - cuando la inversión está en tendencia ascendente o descendente. Aquí los comerciantes suelen poner orden de "stop loss" por encima o por debajo de la media móvil. Cuando el indicador supervisa la tendencia, se mueve el orden de detención de modo que se monitorice el indicador. Si el precio perforó la media móvil, el contrato se ejecutará y la posición se cerrará. Ventajas de la media móvil: - Identificar tendencias sencillas - Flexible y se puede fijar de modo que refleje períodos cortos y largos. Desventajas de la media móvil: - Siga el precio en el mercado con un poco de retraso. Los datos calculados son históricos, lo que no siempre es un indicador de lo que se puede esperar en el futuro y que se repita. Lo que es más en la consolidación de mercados y mercados "en el canal" no puede proporcionar niveles claros de apoyo y resistencia. El viernes, las acciones de la FTSE Nordic Region ETF (GXF) cruzaron por encima de su. Los inversores en Ericsson (ERIC) vieron nuevas opciones disponibles esta semana, para el 15 de mayo. La primera semana del 19 de junio las operaciones de opciones para Ericsson (ERIC) martes, 21 de abril, 11:54 AM ET, por Market News Video Staff Los inversores en Ericsson (ERIC) vieron nuevas opciones comenzar a operar esta semana, para el 19 de junio. NOK Cruces por encima de la clave de nivel medio móvil Miércoles, 22 de abril, 11:39 AM ET, por Market News Video Staff En la negociación el miércoles, las acciones de Nokia Corp (NOK) cruzó por encima de su movimiento de 200 días. Las acciones de Ericsson (ERIC) cruzaron por debajo de su promedio móvil de 200 días. Bullic de doscientos días de media móvil Cruz - ERIC Por Noticias de Mercado Video Staff, Friday, March 18, 4:26 PM ET Play Video: Conozca los 200 DMA Comenzar el pase de diapositivas: 10 Stocks que cruzan sobre su promedio móvil de 200 días & raquo; En las operaciones del viernes, las acciones de Ericsson (NASDAQ: ERIC) superaron su promedio móvil de 200 días de $ 9.84, cambiando de manos hasta $ 9.86 por acción. Las acciones de Ericsson se están negociando actualmente alrededor de un 1,6% en el día. El gráfico siguiente muestra el rendimiento anual de las acciones de ERIC, en comparación con su promedio móvil de 200 días: Según el ETF Finder del ETF Channel, ERIC representa el 4,76% del ETF de la región nórdica FTSE (AMEX: GXF), que cotiza en un 0,1% el viernes. Top Seis historias más vistas esta semana @ Market News Video: Este artículo de Word Cloud: AMEX por encima de cruzar de acuerdo ERIC Ericsson Establecer Finder Viernes de ingresos buscando región de jubilados Especial inicio de acciones Su sobre por encima de la media por debajo de la tabla de cambio compara actualmente durante celebró alta renta última baja hace mover otro punto de rango raquo retiro seguro compartir acciones que el comercio frente a la semana Qué con los años tu Últimas actualizaciones y noticias en tiempo real. IPath S & amp; P 500 VIX Futuros de Corto Plazo a 25,18, media móvil de 10 días 26,84 Mañana a las 00:00 PDUFA Fecha para el evento gubernamental Bivalirudin (Kangio) Mañana a las 00:00 SAGES Reunión Anual 2016 Conferencias Hynes Convention Center, Boston, MA Mañana a las 00:00 Foro Internacional de Investigación sobre las Conferencias de Política Monetaria Banco Central Europeo, Frankfurt 2016-03-20 a las 00:00 44a Conferencia Anual de la Conferencia Scotia Howard Weil Energy The Roosevelt Hotel, Nueva Orleans, LA 2016-03-20 at 00:00 10th Annual RISE Nashville Cumbre Conferencias Gaylord Opryland Nashville, Nashville, TN 2016-03-21 a las 00:00 12ª Reunión de Alto Nivel del Diálogo Energético UE-OPEC Evento gubernamental Secretaría de la OPEP, Viena, Austria 2016-03-21 at 00:00 44a Conferencia Anual de la Conferencia Scotia Howard Weil Energy The Roosevelt Hotel, Nueva Orleans, LA 2016-03-21 at 00:00 Consumer Focus Forum Conferencias Omni Berkshire Hotel - 21 E 52nd St, Nueva York, NY 2016-03-21 at 00:00 10o Congreso Anual Internacional de Transporte y Offshore Conferencias Metropolitan Club - One E 60th St, Nueva York, NY 2016-03-21 at 00:00 10th Annual RISE Nashville Cumbre Conferencias Gaylord Opryland Nashville, Nashville, TN Promedio móvil simple2 = (suma del saldo del 15.01.2011 al 19.01.2011) / 5 días Quiero: antes del 31.12.2010 y después del 01.30.2011 debe ser NULL. Además, si el filtro aplicado desde el 01.01.2011 al 01.30.2011 los saldos antes del 01.01.2011 deben ser ignorados. Ayudame por favor. 15.01.2011 $ 243 096 556,92 $ 254 200 326,58 16.01.2011 $ 243 096 556,92 $ 262 125 928,52 18.01.2011 $ 288 619 913,70 $ 273 119 270,53 De Moscú con amor Miércoles, 09 de marzo de 2011 19:10 Respuestas Problema cerrado. De Moscú con amor Marcado como respuesta por superbluesman Jueves 17 de Marzo de 2011 20:53 Jueves, 10 de marzo de 2011 18:56 Microsoft está llevando a cabo una encuesta en línea para entender su opinión sobre el sitio web de Msdn. Si decide participar, se le presentará la encuesta en línea cuando abandone el sitio Web de Msdn. ¿Te gustaría participar? Ayúdenos a mejorar MSDN. Visite nuestra página UserVoice para enviar y votar ideas! Mladen, ¿qué pasa con una predicción de MA? ¿Alguien ha pensado en eso? Es decir, el valor predicho de ma se basará en los valores previos de ma + últimos valores de precio? Hay una versión con las bandas de confianza añadidas (la versión con la explicación publicada aquí) https://www.forex-tsd.com/elite-sect. Tml # post418506) Dado que si el cambio de las bandas de confianza se fija en 0, puede considerarse como una especie de pronóstico (ver más información sobre la naturaleza de las bandas de confianza aquí.) Bandas de confianza y predicción - Wikipedia, la enciclopedia libre) Puede considerarse como una "predicción" De algún valor medio ________________ PS: usted pudo haber notado que hay una gama de valores en vez del solo valor. Puesto que no hay forma de predecir "exclusivamente" Los valores futuros, que es una de las formas en que podemos estimar / predecir valores futuros con un cierto grado de certeza que no es una estafa sino un intento de trabajar dentro de las reglas matemáticas conocidas para la estimación Comentario Hay una versión con las bandas de confianza añadidas (la versión con la explicación publicada aquí) https://www.forex-tsd.com/elite-sect. Tml # post418506) Dado que si el cambio de las bandas de confianza se fija en 0, puede considerarse como una especie de pronóstico (ver más información sobre la naturaleza de las bandas de confianza aquí.) Bandas de confianza y predicción - Wikipedia, la enciclopedia libre) Puede considerarse como una "predicción" De algún valor medio ________________ PS: usted pudo haber notado que hay una gama de valores en vez del solo valor. Puesto que no hay forma de predecir "exclusivamente" Los valores futuros, que es una de las formas en que podemos estimar / predecir valores futuros con un cierto grado de certeza que no es una estafa sino un intento de trabajar dentro de las reglas matemáticas conocidas para la estimación ¿Qué método de extrapolación recomienda? Por lo que se refiere a la extrapolación, lea esta publicación primero. Https://www.forex-tsd.com/digital-filters/57-filters-indicators-19.html#post458064 De todos modos, un buen ejemplo fue hecho por qpwr. Aquí está la descripción: El indicador se basa en varios métodos que pueden elegirse mediante la variable de entrada Método: Método 1: extrapolación de Fourier; Las frecuencias se calculan usando el Algoritmo de Quinn-Fernandes Método 2: Método de Autocorrelación Método 3: Método de Burg Ponderado Método 4: Método de Burg con función de ponderación de Helme-Nikias Método 5: Método de Itakura-Saito (geométrico) Método 6: Método de covarianza modificado Métodos 2 -6 son los métodos de predicción lineal. La predicción lineal se basa en encontrar los valores futuros como las funciones lineales de los valores pasados. Supongamos que tenemos un número de precios x [0] .. x [n-1] donde el índice más alto es compatible con el precio reciente. La predicción del precio futuro x [n] se calcula como x [n] = -Sum (a [i] * x [ni], i = 1..p) donde a [i = 1..p] Del modelo, p - orden del modelo. Los métodos listados 2-6 encuentran los coeficientes a [] al disminuir el error de raíz media-raíz en las últimas barras n-p de entrenamiento. Por supuesto, podemos llegar al error cero de la predicción si resolvemos directamente el conjunto de ecuaciones mencionadas anteriormente con n = 2 * p por el método de Levinson-Durbin. Este método de predicción se llama Prony Method. Su desventaja es la inestabilidad durante la predicción de los valores futuros de la serie. Así es como este método no ha sido incluido. Los otros parámetros de entrada son: LastBar - el número de la última barra en los últimos datos PastBars - el número de barras pasadas utilizadas para la predicción de los valores futuros LPOrder - el orden del modelo lineal como una fracción del número del pasado Barras (0..1) FutBars - el número de barras futuras en la predicción HarmNo - el número máximo de frecuencias para el Método 1 (0 significa todas las frecuencias) FreqTOL - la imprecisión del cálculo de franquezas para el Método 1 (si es 0.001 no puede converger) BurgWin - el número de la función de ponderación para el Método 2 (0 = Rectangular 1 = Hamming 2 = Parabólico) El indicador dibuja dos líneas: la línea azul muestra los precios del modelo en el entrenamiento Bares, la línea roja muestra los precios futuros previstos. Y aquí está el código. Extrapolador.mq4 (PS: hay un par de advertencias de compilador, pero son benignos) Gracias por la información y el indicador Con la extrapolación (s) la regla de oro es simple. Cuanto más extrapolación va a futuro, menos exacta será. Por lo general, la extrapolación se utiliza para estimar sólo primera o segunda barra en el futuro (estimar no predecir) Utilice siempre mm (con pérdidas de parada estrictas) al utilizar la extrapolación para estimar Artículo Detalle La mayoría de los nuevos comerciantes cuando comenzó a menudo utiliza un conjunto de Promedio móvil para todos los marcos de tiempo. Sin embargo, es recomendable no hacerlo. Tomemos un resumen de lo que es una media móvil. Aquí hay un artículo de FXStreet.com por Valeria Bednarik de Trader College LLC y True Market LLC. Sobre cómo usar MA en el comercio de Forex. Los temas que serán cubiertos son: ¿Qué es un promedio móvil? Diferentes formas de trabajar con el promedio móvil simple (MA) Cómo utilizar una media móvil exponencial (EMA) ¿Qué es una media móvil? Los promedios móviles son indicadores de dirección de tendencia que calculan un promedio aritmético simple de precios para un período determinado, mostrando el valor promedio del precio de una moneda sobre un conjunto de valores. Existen diferentes tipos de MA: utilizamos SMA para los promedios móviles simples y EMA para los exponenciales. También hay dos tipos más de MA: suavizado y lineal ponderado. El SMA es el más simple, sin embargo, el más utilizado. Calcula el promedio del precio agregando los precios del período especificado y luego divide el número de los precios. SMA = Suma de "x" períodos / X Donde x representa un cierto número (podría ser casi cualquiera de 2 a 500 dependiendo de la cantidad de información histórica que sus cartas incluyan); Además, muchos chats permiten seleccionar un conjunto elegido para aplicar el cálculo: Precio abierto, cerrado, alto, bajo, mediano o típico, etc. La EMA, suaviza la MA mediante la adición al precio de cierre actual, el valor anterior y dando a los últimos precios más valor ponderado. Este tipo de MA reacciona más rápido a los cambios de precios recientes que SMA. El Smoothed MA suaviza la SMA dándole a los precios recientes una ponderación igual a los históricos. Se recomienda utilizarlo con períodos de largo plazo para obtener un mejor resultado. El MA lineal ponderado suaviza el SMA, al dar a los datos más recientes un valor más ponderado que a datos más tempranos. Esto ayuda a limitar el efecto de las fluctuaciones de precios del precio reciente. Recordemos que las AM funcionan mejor en un mercado de tendencia y actúan peor en períodos de fluctuaciones del mercado. Diferentes maneras de comerciar con MA Hay muchos métodos diferentes y la configuración de las medias móviles un comerciante puede utilizar; En esta sesión, vamos a incluir sólo dos métodos, con algunos de los ajustes comunes, útil para el comercio intradía. En el primer lugar, podemos utilizar un DESPLAZAMIENTO MÍNIMO MÓVIL. En este método, tiene que dibujar un Ma en cualquier gráfico seleccionado. Veamos un ejemplo en un gráfico de 1 hora de EUR / USD. Utilicé un SMA de 20 períodos (azul). Cuando el precio cruza el promedio móvil abajo y hay una nueva apertura de la vela por encima del indicador de media móvil que compramos, cuando el precio cruza el promedio móvil hacia arriba y hay una nueva apertura de la vela por debajo del indicador de media móvil que vendemos. Gráfico 1 EUR / USD 1 hora Otra manera de comerciar MAs, está utilizando MOVING CROMOS MEDIA. En este método, puede utilizar por lo menos dos MA, pero aquí en Trader College usamos generalmente tres. El primero se establecerá con un período pequeño (Media de Movimiento Rápido), el segundo se establecerá con más número de períodos y el tercero, incluso con un mayor número de ellos (Media de Movimiento Lento). Veamos otro ejemplo usando SMA de 4, 9 y 18 períodos en un gráfico de 4 horas USD / JPY. Gráfico 2 Gráfico de 4 horas USD / JPY El cielo azul es un 4 períodos MA, el azul medio representa 9 períodos, y el oscuro, es para 18 períodos. Ver cómo, cuando 4 cortes 9 y luego, cortes 18 usted tiene un buen desencadenante. La línea de 4 puntos que cruza los 9, es la primera señal que tienes; Esta señal obtiene su confirmación cuando ambos, 4 y 9 cruzan 18. Hay un montón de combinaciones que podemos utilizar para el comercio con Ma o EMA. Otra buena combinación es 9 13 34. La cosa más importante a recordar es que este indicador particular trabaja mejor cuando el mercado está en una tendencia definida. EMA como soportes dinámicos y resistencias Otra forma de utilizar EMA, no sólo como señal o gatillo, es utilizar los grandes (50, 60, 200), como soportes dinámicos y resistencia para el comercio intradía. Por supuesto, a medida que pasa el día, los números cambian, porque como digo esto es un indicador dinámico. La manera de usarlos, es comprobarlos en un gráfico de 4 horas; Con observación se dará cuenta, que en general, los precios rebotan o se detienen cerca de ese punto. Usted puede utilizarlos como precios objetivo también. Pero tenga en cuenta, cuando este EMA están rotos, digamos, para más del 8% de los pips una moneda determinada se mueve un día, que probablemente significa un cambio de estado: si se trataba de un apoyo, luego se convierte en resistencia, y viceversa. Gráfico 3 USD / GBP 4 horas La línea azul, es un 200 EMA. El amarillo, un período de 60 EMA. Vea cómo la moneda gasta un buen número de horas "luchando" con ellos, hasta dar una confirmación de tendencia. No importa qué sistema utilice para el comercio, no importa qué indicador, siempre recuerde dos cosas: hacer su propia prueba de espalda, y tratar de mantener lo más simple posible. Si usted hace su propia prueba de espalda, usted se sentirá seguro, como usted entiende mejor el comportamiento de las monedas; Si usted lo mantiene simple, usted no conseguirá mareado con millares de diversas señales. Acerca de Valeria Bednarik Valeria ha sido un comerciante de Forex activo durante los últimos 2 años, especializado en el mercado internacional de divisas. También se gradúa en la Universidad Católica del Salvador, en Argentina, como Cuenta Pública, especializada en finanzas y administración de costos. En realidad administra una importante cartera de clientes de IFX Markets, Boston y es trader en Trader College LLC. CalculusApp Esta es una gran aplicación de cálculo, con ella se puede calcular cualquier derivada de cualquier función, se pueden calcular integrales simples, dobles o triples, se pueden dibujar campos de pendientes y se pueden calcular fracciones parciales. Listinfo Versión 3 Este programa calcula las sumas de Riemann de izquierda, derecha, trapezoidal, punto medio y Simpson con coordenadas de puntos (x, y). Calculará las sumas * incluso si los subintervalos definidos por puntos consecutivos no son de igual longitud *! El programa puede graficar un StatPlot con cada uno de los rectángulos, trapezoides o parábolas usados ​​para calcular la suma respectiva. Este programa es ideal para AP Calculus AB y BC donde los estudiantes necesitan calcular las sumas de Riemann y *** utilizar MVT, IVT, o AMBOS, o el teorema de Rolle basado en una tabla ***. Si se necesita usar MVT, IVT o ambos para encontrar un valor de f, f-prime, o demostrar que f-double prime es negativo, cero o positivo, el programa mostrará el conjunto de puntos que se deben usar Con los teoremas junto con los cuales teoremas utilizar. Por favor, lea la documentación incluida en el archivo zip para la prueba formal / razonamiento. El programa también calcula las pendientes entre puntos consecutivos, y el signo de la segunda derivada usando pendientes calculadas. Toda la información se almacena en las listas X, Y, SLOPE, CONCV, LRECT, RRECT, TRAP y MIDPT para que el usuario vea después de que el programa termine al ir a Stat -> Edit. Si los ejercicios de mesa de AP Calculus AB / BC que involucran a Riemann Sums, MVT e IVT le están causando problemas, debe descargar este programa. Pruebe en 2003 AB Formulario B # 3 Parte (d), AB 2005 # 3 Parte (d), AB 2007 # 3 Partes (a) y (b), AB 2008 # 2 Parte (c), AB 2004 Formulario B # 3 Parte (b) Todo sobre el Cálculo: Año I Si está tomando AP Calculus AB o cualquier otra forma de cálculo del año uno, este programa le ahorrará HORAS (literalmente) en tareas, exámenes y otras asignaciones. Utilizando una interfaz muy fácil de usar, ofrece una amplia gama de características, incluyendo un buscador de línea tangente, un diferenciador aproximado, una calculadora de suma Riemann (en las cinco formas generalmente usadas), un integrador aproximado, un valor medio Una calculadora de longitud de arco, un generador de campo de pendiente FAST, una calculadora de método de Euler aún más rápida con una tabla desplazable y una calculadora de método de Newton similarmente desplazable. Todos estos se organizan en sólo seis funciones paso a paso, muchos de los cuales utilizan un formato conveniente e intuitivo mathprint. Tres capturas de pantalla animadas y un archivo Léame incluido. Chekéalos; Usted se sorprenderá. Método Runge-Kutta 4 Usa el método Runge-Kutta 4-slope para aproximar numéricamente las soluciones de las ecuaciones diferenciales de primer orden. También almacena datos de pasos intermedios en listas para ayudar a mostrar el trabajo. Recursivo prgmRECURSIV representa secuencias numéricas y gráficamente recursivamente definidas. 1,2,3. N se almacena en L1, mientras que A [sub] (k + 1) en función de A [sub] k se almacena en L2. La secuencia se representa en función de su número de término (en una situación gráfica), aunque la lectura de L2 para la secuencia es más útil (especialmente para el trabajo ocupado). Los gráficos son interesantes, sin embargo; La gráfica de A [sub] (k + 1) = 3A [sub] k, por ejemplo, aumenta como una secuencia geométrica con una relación común r = 3. Secuencia SEQUENCE está diseñado para representar numéricamente y gráficamente las secuencias que resultan de todos los tipos de funciones, especialmente aquellas cuyos valores sólo llevan significado en el dominio de los números naturales: factorials, series, series alternas, etc. f (n) 1,2,3. N (el dominio se almacena automáticamente en L1); Almacenado y visualizado como L2. ZoomStat muestra el (L1, L2) junto a Y1. Integración Aproximada La Integración Aproximada se utiliza cuando es imposible o muy difícil encontrar el valor exacto de una integral definida. Este programa utiliza 5 técnicas diferentes, aproximación de extremo izquierdo, aproximación de extremo derecho, regla de punto medio, regla trapezodial y reglas de Simpsons, para encontrar valores aprroximados para la integral definida. Programa de Campo de Pendiente Este programa dibuja el campo de pendiente para una ecuación diferencial dada de la forma y '= f (x, y). También superpondrá curvas de solución especificadas por el usuario de la forma y = F (x) en el campo de pendiente. Puntos fuertes del programa: (1) Optimizado para la velocidad (por ejemplo, el campo de pendiente se guarda y luego se reutiliza en lugar de volver a generar cuando se representan gráficamente las curvas de la solución). (2) Flexible (por ejemplo, las configuraciones para las variables de ventana y la rejilla de campo de inclinación son especificadas por el usuario e independientes entre sí). (3) Fácil entrada de datos y navegación (por ejemplo, los recordatorios de cancelación están en pantallas de entrada de datos). Campos de Inclinación Completos Este programa graficará el campo de pendiente para una ecuación dy / dx dada, le permitirá modificar la ventana de visualización, mostrar la pendiente en un punto dado (x, y) y superponer la ecuación original (antiderivada) sobre la pendiente Campo, para que pueda ver mejor la relación. Útil para Calculus AB, BC, y hacia arriba. A diferencia de muchos otros programas de campo de pendiente, éste: tiene una frecuencia variable para la frecuencia / grande de las marcas de pendiente (establecido como una cuadrícula en las marcas de escala del eje x / y), supera los errores de "división por cero" encontrados con ecuaciones como - X / y, se optimiza la velocidad, y viene con una variedad de opciones. Programa Adaptive Runge-Kutta Este programa TI 83+ es una adaptación del algoritmo utilizado por las calculadoras TI 85, TI 86 y TI 89 para representar gráficamente soluciones a ecuaciones diferenciales. El algoritmo subyacente es un algoritmo adaptativo de Runge-Kutta de tercer orden que utiliza coeficientes debido a Bogacki y Shampine. Envíe sugerencias, comentarios, críticas y reportes de errores a thornahawkyahoo.com. (Originalmente en unitedti.org) Aproximación de área integral Este programa toma una función dada, la evalúa a lo largo del intervalo, con el número de intervalos establecido, y evalúa en los puntos de integración izquierdo, medio, derecho o trapezoidal y devuelve el valor. Menos trabajo que la función fnInt, y también más fácil de usar. Integral X Este programa es capaz de encontrar el área bajo y entre curvas. Usted puede elegir entre numerosos métodos de encontrar el área, incluyendo izquierda, derecha y media, trapezoidal, sólidos de la revolución y la integración estándar. El programa es fácil de usar, y entender, si usted sabe la terminología. Puede encontrar integrales definidas, independientemente de si la ecuación es desconocida, siempre que se den coordenadas. Definitivamente vale la pena tener este programa de integración, ya que este programa cuenta para CUALQUIER COSA que podría haber en el examen. Diferenciar Diferenciar en holandés. Con la lista de cómo se puede calcular esta suma. (No sólo responde, lo que hace la mayoría de los programas). Por lo tanto, ideal para las matemáticas! Si sabe programar, puede cambiarlo al inglés. (¡Fácil de usar!) Regla de Simpson Este programa solicita al usuario "A" (El límite inferior de integración), "B" (El límite superior de integración), "N" (El número dado de subintervalos), y "Función" (La función para la cual El programa utilizará la Regla de Simpson para aproximar la integral.El programa almacena la respuesta en la variable "X" para la referencia por el usuario después de que el programa ha terminado.Recuerde que la Regla de Simpson es válida sólo cuando n es par .El programa se detendrá si N es extraño. Punto de inflexión Finder Dada una función y un par de límites, encontrará el punto de inflexión para él (si existe) en su propia TI-83 +! SUMeng Es para hacer sumas: LEFTHAND-SUM, RIGHTHAND-SUM, TRAPEZ, MIDPOINT y SIMPSONS. Introduzca la función en Y1 e inicie el programa. Introduzca el límite inferior, el límite superior y las subdivisiones. A continuación pres enter y verá LEFTHAND-SUM, RIGHTHAND-SUM y TRAPEZ-sum. Pres entrará de nuevo y verá MIDPOINT y SIMPSONS-sum. Es tan fácil como eso. Nota: cuando elige ex. N = 4 el resultado será en todas las sumas N = 4, pero en la suma SIMPSONS N será 8. (En la suma SIMPSONS -> N = 2 * N) Área bajo una curva Este programa utiliza el algoritmo de Romberg para encontrar el área bajo una curva. He probado otros programas para la velocidad y la exactitud pero encontré el mío para ser superior en ambos. El usuario puede ajustar la precisión a un número de conjunto de decimales. También muestra una estimación de la respuesta como ceros en la respuesta exacta. A medida que pasa el tiempo, aquí hay algunas veces para el 84 edición de plata y la precisión de 9 decimales en modo radian. Sí, 9 decimales. E ^ (- x) de 0x-50x toma 25 segundos. Sin (x), 0 x-10pi x toma 1 segundo. Cos (x + 32) + 2sin (x) de 0-10 tarda 25 segundos. Precalculus Este programa es un programa de pre-cálculo que cubrirá toda su revisión de álgebra 2 y todas las funciones trigonométricas incluyendo seno, coseno, tangente, secante, cosecante y cotangente. Incluso grafica estas funciones trigonométricas también, y hace básicamente todo lo que necesitarás para tu clase precálida. El archivo es un grupo, y necesitará desagruparlo después de enviarlo a su calculadora y luego ejecutar el programa llamado "aaap" para comenzar a usar el programa. Si tiene algún problema, envíeme un correo electrónico a [email protected] o un mensaje instantáneo de AOL en MYNAMEISALLCAPS Cálculo AP Si está tomando Cálculo o va a tomar Cálculo, definitivamente necesitará este programa. Se le ahorrará mucho tiempo y trabajo que tendrá que luchar con unos 30 minutos cuando este programa lo hace en unos 5 minutos. Encontrará Área entre Curvas, Volumen de Revolución Circular alrededor de una Línea Vertical y Alrededor de una Línea Horizontal, Centróide, Longitud del Arco, Superficie de Revolución, Integral Definido de una función de A a B, Sumas de Riemann (Aproximaciones de Área - Izquierda, Derecha , El punto medio, el trapecio y las reglas de Simpson), el derivado N-derivado (basado en la regla de poder) N-ésimo antiderivado (basado en la regla de poder) y los métodos de aproximación raíz (newton, bisección y métodos secantes). Se hará mucho por usted y que realmente le ayudará en Cálculo. Ahora descargue este programa en su Calculadora, y diríjase a Calculus y vea lo útil que es! Herramientas de Cálculo por Eric Parsons v1.3 ¿Olvidar cómo integrar o derivar una función de trigonometría? ¿El área de cálculo del odio con el método trapezoidal a mano? ¿Desea tener un programa para hacer las matemáticas un poco más fácil. Este programa tiene 7 programas diferentes, incluyendo las leyes de coseno y seno y otros para ayudarle a afeitarse su trabajo pre-calc y cálculo tedioso por la mitad. Descárguelo y compruébelo, asegúrese de leer el archivo Léame antes de utilizarlo para obtener información útil sobre cómo utilizar algunas de las opciones. Cálculo 1 y 2 Pack v1.2 Programas incluidos: fórmulas de álgebra / geometría / trigonometría, gráficos ram, serie maclaurin, volumen y rotación de un sólido, ram / trapezoide, prueba de convergencia, movimiento de proyectil, tabla de dominio / rango / derivados / Integrales de 12 funciones trigonométricas y 4 otras funciones log / expo, valor exacto / dominio infinito de funciones trigonométricas, método de Euler, método de Euler mejorado, método de Runge-Kutta, método de Newton, campo de pendiente y sumas parciales de una serie recursiva. Regla de Simpson Le permite introducir el principio y el final del intervalo ( "a" para el inicio, "b" para el final) y el número de subdivisiones ( "n"). Cuando ingrese la ecuación, debe estar seguro de ponerla en parábolas, de lo contrario no funcionará. p.ej. A la entrada 3x, escriba esto: "3x" y presione enter. Le mostrará el progreso del programa. Ser advertido, más subdivisiones usted utiliza, el más tiempo que tomará. Aprox. Los tiempos son N = 50, tiempo = 30 seg, n = 100, tiempo = 70 seg, n = 150, tiempo = 130 seg (tiempo en segundos = 0,003 (n ^ 2) + 35n + 5) Prueba - Negocios 620 - 12/8/13 Blackboard Learn Esta vista previa tiene secciones borrosas. ¡Regístrese para ver la versión completa! Ver documento completo 12/8/13 Blackboard Learn 1/7 Pregunta 1 El nivel de ventas en mayo, junio, julio y agosto fue de 84, 92, 83 y 89, respectivamente. ¿Cuál es el pronóstico promedio móvil de las ventas en septiembre? Si la relación t para la pendiente de una ecuación de regresión lineal simple es igual a 1,614 y los valores críticos de la distribución t en los niveles de significación 1% y 5%, respectivamente, son 3,499 y 2,365, entonces La pendiente se selecciona Respuesta: significativamente diferente de cero al nivel del 1% pero no al nivel del 5% Pregunta 3 ¿Cuál de los siguientes es un indicador económico líder? Respuesta seleccionada: precios de las acciones, 500 acciones comunes Pregunta 4 Las economías de alcance se refieren a la disminución del costo total promedio que puede ocurrir cuando una empresa Respuesta seleccionada: produce más de un producto Pregunta 5 El nivel de ventas previsto para el mes de mayo fue de 240 unidades. Las ventas reales en mayo resultaron ser 200 unidades. Utilice un coeficiente de suavizado exponencial de 0,8 para pronosticar las ventas de junio. Respuesta seleccionada: 230 Pregunta 6 La aplicación del análisis de regresión lineal simple a la estimación de una ecuación de demanda ha producido lo siguiente: Q = 24 & tímido; 2 P Si el precio actual del producto es P = $ 6 y la cantidad vendida por período de tiempo es Q = 10, entonces el error (e) para el período de tiempo actual es igual a (cantidad real vendida y tímida) & Tímido 2 2 de 2 puntos 0 de 2 puntos 2 de 2 puntos 2 de 2 puntos 0 de 2 puntos 2 de 2 puntos 12/8/13 Blackboard Learn 2/7 Pregunta 7 Una diferencia entre la demanda externa y doméstica de un producto exportado por los Estados Unidos es que Respuesta Seleccionada: la demanda extranjera depende del tipo de cambio entre monedas nacionales y extranjeras Pregunta 8 Monica renunció a sus 50.000 dólares por Compró un edificio que fue arrendado anteriormente por el operador de una tienda de dulces por $ 1,500 por mes, y utilizó el espacio para criar y vender peces tropicales. En su primer año hizo una ganancia de negocio de $ 60.000. ¿Cuál era su beneficio económico? Respuesta seleccionada: ella hizo una pérdida económica de $ 8,000 Pregunta 9 Cuando la economía emergió de la recesión más reciente, el ingreso de los hogares aumentó 6%. Este es el final de la vista previa. Regístrese para acceder al resto del documento. Noticias en tiempo real después de las horas previas al mercado Resumen de cotizaciones de Flash Cotizaciones interactivas Configuración predeterminada Tenga en cuenta que una vez que haga su selección, se aplicará a todas las futuras visitas a NASDAQ.com. Si, en cualquier momento, está interesado en volver a nuestra configuración predeterminada, seleccione Ajuste predeterminado anterior. Si tiene alguna pregunta o tiene problemas para cambiar la configuración predeterminada, envíe un correo electrónico a [email protected] Confirme su selección: Ha seleccionado cambiar la configuración predeterminada para la Búsqueda de cotizaciones. 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'' Permita que su navegador reciba nuestra '' cookie '' para resolver. ¿Otras preguntas? Envíenos un correo electrónico a: [email protected] VBR Cruces por encima del nivel promedio móvil | www.ETFChannel.com | Copyright y copia; 2009 - 2016, Todos los derechos reservados Nada en el Canal ETF pretende ser un asesoramiento de inversión, ni representa la opinión de, consejo de, o recomendaciones de BNK Invest Inc. ni de ninguna de sus filiales, subsidiarias o socios. Ninguna de las informaciones contenidas en el presente documento constituye una recomendación de que cualquier estrategia de inversión, estrategia de cartera, transacción particular sea adecuada para cualquier persona en particular. Todos los espectadores están de acuerdo en que bajo ninguna circunstancia BNK Invest, Inc. sus subsidiarias, socios, funcionarios, empleados, afiliados o agentes serán responsables por cualquier pérdida o daño causado por su confianza en la información obtenida. Al visitar, usar o ver este sitio, usted acepta los siguientes Términos y Condiciones: Términos de uso y política de privacidad. Widget de vídeo y videos de la ETF impulsados ​​por Market News Video. Los datos de cotización se retrasaron al menos 20 minutos; Datos ETF impulsados ​​por Ticker Technologies. Y Mergent. Contacto Canal ETF; Conozca a nuestro equipo editorial. Plantilla de previsión de ventas de media móvil En nuestra vida diaria, nos encontramos con una gran cantidad de problemas matemáticos o analíticos que giran en torno a la media. Por ejemplo, calculamos nuestras calificaciones promedio como 67.8% o podemos calcular el ingreso promedio mensual de una empresa. Therefore, we may interpret that simple average gives us a picture of our past activities in a single numeric form, such as our average marks or average monthly income of business. Unlike Simple average, Moving average gives us an opportunity to forecast the future results on basis of previous results. Moving average has two types, i.e. Simple Moving Average and Weighted Moving Average. In the following paragraphs, both types of moving averages and forecasting mechanism will be dealt with in detail. Here is preview of a good quality Moving Average Sales Forecast Template, At the outset, it would be wiser to plan summary of a daily life problem and solve it through forecasting with simple moving average and weighted moving average, turn by turn. Consider following table and suppose that we have actual demand data of Leather Jackets for last five (05) years and we wish to forecast demand for next five (05) years. It would be assumed that in the current problem all remaining factors, such as weather, public choice, etc. remain unchanged. F t è Forecast for period N è Number of periods used for forecast (05 in our example) S è Actual Values Forecast demand for 2013 has been calculated as: (120 + 103 + 105 + 84 + 114) / 5 = 105.20 Forecast demand for 2014 has been calculated as: (103 + 105 + 84 + 114 + 105.20) / 5 = 102.24 If we assign weight to each value in calculating moving average, it is called weighted moving average. In our aforementioned example, if we give preference to the most recent data and less preference to old data, forecasting may be obtained through weighted moving average. Consider the following slight changes in above given example: Actual Demand of Leather Jackets Forecast for 2013 is calculated as: (120*1+103*2+105*3+84*4+114*5) / (5+4+3+2+1) = 103 Forecast for 2014 is calculated as: (103*1+105*2+84*3+114*4+103*5) / (5+4+3+2+1) = 102 While calculating weighted moving average, care must be taken that in simple moving average we divide by the number of periods used for forecast, but in weighted moving average division is made by sum of weights associated with each relevant period used for forecasting. In the concluding arguments, it is better to explain that as simple average is a single value, moving average (whether simple or weighted) is a series of numbers which give an insight into future, i.e. forecast based upon historical values. Here is download link for this Moving Average Sales Forecast Template, Compartir este: About The Author Artículos Relacionados Leave a Reply Cancel Reply Subscribe to be Notified via Email New Layouts February 12, 2016 February 12, 2016 Layouts & Plantillas Recently Added Top Ten Layouts All Time Popular © Copyright 2015, All Rights Reserved. Es necesario registrarse GRATIS para continuar. Ha visualizado 6 páginas en las últimas 6 horas. To continue, please register at ETF Channel for unlimited page views and our free weekly newsletter, by entering your name and email address below. El registro es totalmente gratuito. Al registrarse, usted acepta nuestra política de privacidad & amp; términos de Uso. Si está en Canadá, debe hacer clic aquí para obtener una página de registro alternativo. ¿Problemas con su registro? '' Pegarse? '' Permita que su navegador reciba nuestra '' cookie '' para resolver. ¿Otras preguntas? Email us at: [email protected] VONE Crosses Above Key Moving Average Level | www.ETFChannel.com | Copyright y copia; 2009 - 2016, All Rights Reserved Nothing in ETF Channel is intended to be investment advice, nor does it represent the opinion of, counsel from, or recommendations by BNK Invest Inc. or any of its affiliates, subsidiaries or partners. Ninguna de las informaciones contenidas en el presente documento constituye una recomendación de que cualquier estrategia de inversión, estrategia de cartera, transacción particular sea adecuada para cualquier persona en particular. Todos los espectadores están de acuerdo en que bajo ninguna circunstancia BNK Invest, Inc. sus subsidiarias, socios, funcionarios, empleados, afiliados o agentes serán responsables por cualquier pérdida o daño causado por su confianza en la información obtenida. Al visitar, usar o ver este sitio, usted acepta los siguientes Términos y Condiciones: Términos de uso y política de privacidad. Video widget and ETF videos powered by Market News Video. Los datos de cotización se retrasaron al menos 20 minutos; ETF data powered by Ticker Technologies. Y Mergent. Contact ETF Channel ; Conozca a nuestro equipo editorial. Weighted Moving Average Passive Aggressive Algorithm for Online Portfolio Selection Passive aggressive algorithms for online portfolio selection, such as PAMR, were recently shown empirically to achieve state-of-the-art performance in various stock markets. Inspired by the multi-period mean reversion principle in Antic or Algorithm, we present a passive aggressive algorithm by introducing a moving averaged loss function and achieve a novel online portfolio selection strategy named "Weighted Moving Average Mean Reversion" (WMAMR). The strategy is able to effectively exploit the power of mean reversion for online portfolio selection. Extensive experiments on various real markets demonstrate the effectiveness of our strategy in comparison with PAMR, especially with transaction cost. Published in: Date of Conference: Page(s): 327 - 330 Print ISBN: 978-0-7695-5011-4 INSPEC Accession Number: 13874996 Conference Location. Hangzhou DOI: 10.1109/IHMSC.2013.84 Publisher: IEEE Author(s) L. Gao Sch. of Bus. Adm. South China Univ. of Technol. Guangzhou, China W. Zhang INSPEC: CONTROLLED INDEXING INSPEC: NON CONTROLLED INDEXING AUTHOR KEYWORDS IEEE TERMS Referenced Items are not available for this document. No versions found for this document. Inicia sesión para ver los términos del diccionario de estándares. IEEE Account Purchase Details Profile Information ¿Necesitas ayuda? A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology. &dupdo; Copyright 2016 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. Selected Publications David A. Dickey Citation Counts In November 1993 the publisher of Science Citation Index and Social Science Citation Index declared the Econometrica article listed below to be a "citation classic," stating that it had been cited in more than 435 publications. In 1997 it was displayed in the NSCU library as the most cited paper (738 citations then, 1017 as of 7/99) by any NCSU professor. The Biometrika article with my student Said was 7th most cited (243 citations then, 336 as of 7/99). An earlier 1979 JASA paper has been cited 1277 times as of 7/99. A search of Social Sciences Citation Index shows 4669 citations of all papers as of Oct 2001. The JASA and Econometrica appeared as references in the official support documentation for the 2003 Nobel Prize in Economics. awarded to Engle and Granger. -- Papers -- Akdi, Y. and Dickey, D. A. (1997). "Periodograms of Unit Root Time Series: Distributions and Tests" Communications in Statistics 27, 69-87 Akdi, Y. and Dickey, D. A. (1999). "Periodograms for Seasonal Time Series with a Unit Root," Istatistik 2, 153-164 Brocklebank, J. and Dickey, D. A. (1984) "Using the SAS System to Perform Univariate and Cross Spectral Analysis," Proceedings of SUGI . 948-954. Brocklebank, J. and Dickey, D. A. (1985) "Statespace Modeling," invited paper in Proceedings of Pacific Statistical Conference . 114-120 (Aukland New Zealand). Brocklebank, J. and Dickey, D. A. (1986) "Performing the X-11 ARIMA Seasonal Adjustment," Proceedings of SUGI . 949-958. Bush, E.J. Cowen, P. Morrow, W. E. M. Dickey, D. A. . and Zering, K. E. (1995) "Empirical Similarity of Responses of Two Random Samples of North Carolina Swine Producers to a Management Questionnaire used in the U.S. National Swine Survey," Preventive Veterinary Medicine . 22, 1-13. Caruolo, E. V. Jarman, R. F. and Dickey, D. A. . (1990) "Milk Temperatures in the Claw Piece of the Milking Machine and Mammary Surface Temperature are Predictors of Internal Mammary Temperature in Goats," Journal of Veterinary Medicine A . 37, 61-67. Chang, M. C. Dickey, D. A. . (1993) "Recognizing Overdifferenced Time Series," Journal of Time Series Analysis . 15, 1-8. Dickey, D. A. (1981) "Histograms, Percentiles, and Moments." American Statistician . 35, 164-165. Dickey, D. A. (1984). "Power of Unit Root Tests," Proceedings of Business and Economic Statistics Section, American Statistical Assn. . 489-493 Dickey, D. A. (1984). "Stationarity Transformations in Vector Autoregressions," Proceedings of Business and Economic Statistics Section, American Statistical Assn. . 171-174 Dickey, D. A. (1990). "Testing for Unit Roots in Vector Processes and its Relationship to Cointegration," in Advances in Econometrics . vol. 8, 87-105 (Thomas Fomby, ed.) Dickey, D. A. (1990). "Recognizing Overdifferenced Time Series" Proceedings of Business and Economic Statistics Section, American Statistical Assn. . Dickey, D. A. (1998). "Regression with Time Series Errors," invited paper, Proceedings of 23rd Annual SAS Users Group International Conference 359-366 Dickey, D. A. (1999). "Statistical Graphics," invited paper, Proceedings of 24th Annual SAS Users Group International Conference Dickey, D. A. (2000). "Time Series: Nonstationary Distributions and Unit Roots" International Encyclopedia of the Social and Behavioral Sciences (in press) Dickey, D. A. and Brocklebank, J. (1984) "Preliminary Transformations in Time Series Modeling," Proceedings of 9th Annual SAS Users Group International Conference . 58-63. Dickey, D. A. and Brocklebank, J. (1984) "Preliminary Transformations in Time Series Modeling," invited paper in Proceedings of Pacific Statistical Conference . (Aukland, New Zealand) 107-113. Dickey, D. A. and Brocklebank, J. (1986) "Checking for Autocorrelation in Regression Residuals," Proceedings of 11th Annual SAS Users Group International Conference . 959-965. Dickey, D. A. and Fuller, W.A. (1976). "Distribution of First Order Autoregressive Estimator," Proceedings of the Business and Economic Statistics Section, American Statistical Association. . 278-281. Dickey, D. A. and Fuller, W.A. (1979). "Distribution of the Estimators for Autoregressive Time Series with a Unit Root ," J. American Statistical Assn. . 74, 427-431. This paper was cited in the support documentation for the 2003 Nobel Prize in Economics. Dickey, D. A. and Fuller, W.A. (1981). "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root ," Econometrica . 49, 1057-1072., Citation classic This paper was cited in the support documentation for the 2003 Nobel Prize in Economics. Dickey, D. A. and Gonzalez-Farias, G. (1992). "A New Maximum Likelihood Approach to Testing for Unit Root s," Proceedings of the Business and Economic Statistics Section, American Statistical Association. Dickey, D. A. . Hasza, D.P. and Fuller, W.A. (1984) "Testing for Unit Roots in Seasonal Time Series," Journal of the American Statistical Association. 79, 355-367 This article was reprinted in the book Modelling Seasonality S. Hylleberg, ed. (1992), Oxford University Press. Dickey, D. A. . D. W. Jansen, and D. L. Thornton (1991). "A Primer on Cointegration with an Application to Money and Income," Federal Reserve Bank of St. Louis Review. 17, 58-78 Dickey, D. A. and Rossana, R. J.(1994) "Cointegrated Time Series: a Guide to Estimation and Hypothesis Testing," Oxford Bulletin of Economics and Statistics," 56,235-353 Dickey, D. A. and Said, S.E. (1981). "Testing ARIMA (p, 1, q) versus ARMA (p + 1, q) Models," Proceedings of Business and Economic Statistics Section, American Statistical Association. Said, S.E. and Dickey, D. A. (1984). "Testing for Unit Root s in Autoregressive-Moving Average Models of Unknown Order," Biometrika 71, 599-607. Citation classic Dickey, D. A., Bell, W.R. and Miller, R.B. (1986). " Unit Root s in Time Series Models: Tests and Implications," American Statistician 40, 12-26. Dickey, D. A. and Pantula, S.G. (1987). "Determining the Order of Differencing in AR Processes," Journal of Business and Economic Statistics 5, 455-461. This article was reprinted in Journal of Business and Economic Statistics (special issue, vol. 20, Jan. 2002 pg. 18-24) as one of the 10 most influential papers in the first 20 years of that journal's existence. Dickey, D. A. . and S. G. Pantula (2002). Determining the order of differencing in AR processes. Journal of Business Economics Statistics, 20: 18-24. (20th Anniversary Commemorative Issue- published originally in 1986) Dickey, Michael D. . Stewart, M. D. Willson, C. G. and Dickey, D. A. . (2005) An Automated Statistical Process Control Study of Inline Mixing Using Spectrophometric Detection, accepted for publication, Journal of Chemical Education. Evans, B.A. and Dickey, D. A. . (2002). Normalizations for periodogram-based unit root tests , Statistics and Probability Letters, 60: 343-350. Fountis, N.G. and Dickey, D. A. (1989). "Testing for a Unit Root Nonstationarity in Multivariate Autoregressive Time Series," Annals of Statistics 17, 419-428. Gonzalez-Farias, Graciela and Dickey, D. A. (1999) " Unit Root Tests: An Unconditional Maximum Likelihood Approach," Boletin de la Sociedad Matematica Mexicana 5, 199-221. Huh, Seungho, Dickey, D. A. . Meador, M. R. and Ruhl, K. E. (2005). "Temporal analysis of the frequency and duration of low and high stream flow: years of record needed to characterize streamflow variability" Journal of Hydrology vol. 310, p.78-94. Lee, Taiyeong and Dickey, D. A. . (2004). Unconditional Maximum Likelihood Estimator for a Seasonal Unit Root Test, Journal of Time Series Analysis vol. 25 #4 pg. 551-557. Mochrie RD, and Dickey, D. A. (1984) Comparison of Semiautomated Method with Official Optical Somatic-cell Counting Method-III for Determining Somatic-cells in Milk Journal of the Association of Official Analytical Chemists 67: (3) 615-617 Phillips, K. J. Ghosh, T. K. Dickey, D. A. . (2005) Stress Relaxation of Tufted Carpets and Carpet Components: Analysis of the Tufted Carpet Structure. Textile Research Journal vol. 75 # 6, 485-491. Spooner, J.. S.L. Brichford, Dickey, D. A. . R.P. Maas, M.D. Smolen, G.J. Ritter, and E.G. Flaig (1988) Determining The Sensitivity of the Water Quality Monitoring Program in the Taylor Creek-Nubbin Slough, Florida Project. Lake and Reservoir Management, 4(2):113- 124. Spooner, J.. Dickey, D. A. . and J.W. Gilliam (1990). Determining and Increasing the Statistical Sensitivity of Nonpoint Source Control Grab Sample Monitoring Programs. pag. 119-135. In: Proceedings International Symposium on the Design of Water Quality Information Systems. Information Series No. 61, Colorado Water Resources Research Institute, Colorado State University, Fort Collins, Colorado. pag. 473 Walker, John T. Aneja, V. P.. and Dickey, D. A. (2000) "Atmospheric Transport and Wet Deposition of Ammonium in North Carolina," International Journal of Atmospheric Environment 34, 3407-3418. -- Books -- Bowerman, B. L., O'Connell, R. T. and Dickey, D. A. (1986). Linear Statistical Models: An Applied Approach Duxbury Brocklebank, J. C. and Dickey, D. A. (1986). The SAS System for Forecasting Time Series SAS Inst. Re: Moving Average Dear mladen, thank you for all the incredible support you give all of us. It is greatly appreciated. I can't imagine how you manage it all. Would be so kind to create a bar indicator which uses four different zerolagMACD_v2MTF crosses of 0. For example it would turn green if m1, m5, m15, and m60 were all above 0. Red if all of them are below 0. And yellow if 3 of 4 only are crossed. Thanks to all of you guys who are supporting this forum. Sorry, I'm not sure how to post a link to the zerolagMACD, but I imagine you have it. It would be assume if the four tf's are selectable as well as the MACD settings. I think everyone will find this to be a very useful. It's important to use this zerolagMACD or formulas, as I find them to be more leading than most MACD. If this is too much trouble, I understand. Thank you for just considering it. Comentario Re: Moving Average Hi Kevh52 how you think ( And yellow if 3 of 4 only are crossed.) if first three of four (m1,m5,m15). Comentario Re: Moving Average Hi mntiwana, for example if m1 m5, m15 charts have crossed MACD but the 60 minute chart hasn't yet, it turns yellow to signify, caution setup may be getting close. Or if the one minute chart has moved back, but m5, m15, m60 are good, it maybe too late for entry. Does that make sense? Comentario Re: Moving Average Would my request make more sense or be easier if a histogram bar indy using only one MACD timeframe having simply red or green? Then stacking multiple histograms to show quick display of them. Comentario Re: Moving Average kevh52 did you means of this kind and type but with (zerolagMACD_v2MTF) picture is here under with 4tf macd nmc Comentario Re: Moving Average which version can i use for this? zero lag heikin-ashi TEMA where i can choose median or typical price Comentario Re: Moving Average kevh52 did you means of this kind and type but with (zerolagMACD_v2MTF) picture is here under with 4tf macd nmc Yes, that looks like what I meant. Should be perfect if you would. Thank you so much for helping me. Re: Moving Average Hi mntiwana, Thanks for your clarifications. Very helpful and hopefully will reduce any further time spent. MLADEN OR MRTOOLS, please help me, if you can find the time. I thank you all and i'm amazed at what you are willing to do. Is there anything that I can do to help in return? I am an amateur coder and may be able to convert the one mntiwana has to zerolagMACD, just that it will take me time with trial and error. Either way, you guys have already helped me. Comentario Re: Moving Average Hi all, sorry to be such a bother. I may have been able to modify mladen's program into the zerolagMACD version. Here's what I changed. I hope that it's ok with mladen that I'm using and modifying your indicator. double macd = iMACD(NULL,timeFrames[k],FastEMA,SlowEMA,SignalSMA,MacdPrice,MODE_MAIN,y); double signal = iMACD(NULL,timeFrames[k],FastEMA,SlowEMA,SignalSMA,MacdPrice,MODE_SIGNAL,y ); changed the above two lines to: double macd = iCustom(NULL,timeFrames[k],"ZeroLag_MACD",FastEMA,SlowEMA,SignalSMA,MacdPric e,MODE_MAIN,y); double signal = iCustom(NULL,timeFrames[k],"ZeroLag_MACD",FastEMA,SlowEMA,SignalSMA,MacdPric e,MODE_SIGNAL,y); It appears to match my zerolagMACD now. Is this correct and ok that I modified it? If all is good, mladen, please give your blessing and let me know if I can use it. I prefer you release it, rather than me using a mod of yours. Gracias. Comentario arXiv.org > cs > arXiv:1603.04667 Computer Science > Systems and Control Title: Stationary Graph Processes and Spectral Estimation (Submitted on 14 Mar 2016) Abstract: Stationarity is a cornerstone property that facilitates the analysis and processing of random signals in the time domain. Although time-varying signals are abundant in nature, in many practical scenarios the information of interest resides in more irregular graph domains. This lack of regularity hampers the generalization of the classical notion of stationarity to graph signals. The contribution in this paper is twofold. Firstly, we propose a definition of weak stationarity for random graph signals that takes into account the structure of the graph where the random process takes place, while inheriting many of the meaningful properties of the classical definition in the time domain. Our definition requires that stationary graph processes can be modeled as the output of a linear graph filter applied to a white input. We will show that this is equivalent to requiring the correlation matrix to be diagonalized by the graph Fourier transform. Secondly, we analyze the properties of the power spectral density and propose a number of methods to estimate it. We start with nonparametric approaches, including periodograms, window-based average periodograms, and filter banks. We then shift the focus to parametric approaches, discussing the estimation of moving-average (MA), autoregressive (AR) and ARMA processes. Finally, we illustrate the power spectral density estimation in synthetic and real-world graphs. Submitted to IEEE Trans. Signal Processing Icon (ICLR) Shares Cross Above 200 DMA Monday, May 19, 4:26 PM ET, by Market News Video Staff In trading on Monday, shares of Icon plc (ICLR) crossed above their 200 day moving. First Week of January 2015 Options Trading For Icon (ICLR) Tuesday, May 20, 11:00 AM ET, by Market News Video Staff Investors in Icon plc (ICLR) saw new options begin trading this week, for the January. iShares MSCI Ireland Capped (EIRL) Shares Cross Below 200 DMA Monday, June 23, 10:59 AM ET, by Market News Video Staff In trading on Monday, shares of the iShares MSCI Ireland Capped ETF (EIRL) crossed below. First Week of August 16th Options Trading For Icon (ICLR) Tuesday, July 1, 10:44 AM ET, by Market News Video Staff Investors in Icon plc (ICLR) saw new options begin trading this week, for the August. iShares MSCI Ireland Capped Getting Very Oversold Tuesday, August 5, 11:33 AM ET, by Market News Video Staff In trading on Tuesday, shares of the iShares MSCI Ireland Capped ETF (EIRL) entered into. ICLR Crosses Above Key Moving Average Level By Market News Video Staff, Friday, March 18, 11:51 AM ET Play Video: Learn About The 200 DMA Start slideshow: 10 Stocks Crossing Above Their 200 Day Moving Average » In trading on Friday, shares of Icon plc (NASDAQ:ICLR ) crossed above their 200 day moving average of $71.85, changing hands as high as $72.20 per share. Icon plc shares are currently trading up about 1.9% on the day. The chart below shows the one year performance of ICLR shares, versus its 200 day moving average: Looking at the chart above, ICLR's low point in its 52 week range is $62.36 per share, with $84.14 as the 52 week high point — that compares with a last trade of $71.80. Can your brain be trained to become a chart-predicting wizard? Click here to find out According to the ETF Finder at ETF Channel, ICLR makes up 4.45% of the iShares MSCI Ireland Capped ETF (AMEX:EIRL ) which is trading up by about 0.2% on the day Friday. Top Six Most Viewed Stories This Week @ Market News Video : This Article's Word Cloud: AMEX Above According Crossing EIRL ETFs Finder Friday ICLR Icon Ireland Looking MSCI Start Stocks Their about above average below brain changing chart compares currently find held here high iShares last makes moving other point predicting range raquo share shares slideshow that trading versus week what which with year your An Asymptotic Expansion for the Distribution of the Likelihood Radio Criterion for a Gaussian Autoregressive Moving Average Process Under a Local Alternative In this paper, we shall derive the asymptotic expansion for the distribution of the likelihood ratio criterion for a Gaussian autoregressive moving average process under a sequence of local alternative hypotheses converging to the null hypothesis with rate of convergence null where n is the sample size. Explicit algebraic formulae are presented for certain special cases, including the ARMA(1,1). Si experimenta problemas al descargar un archivo, compruebe si tiene la aplicación adecuada para verla primero. En caso de problemas adicionales, lea la página de ayuda de IDEAS. Tenga en cuenta que estos archivos no están en el sitio IDEAS. Por favor sea paciente ya que los archivos pueden ser grandes. Article provided by Cambridge University Press in its journal Econometric Theory . Volume (Year): 1 (1985) Issue (Month): 01 (April) Pages: 73-84 When requesting a correction, please mention this item's handle: RePEc:cup:etheor:v:1:y:1985:i:01:p:73-84_01. Ver información general sobre cómo corregir material en RePEc. For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Keith Waters) Si ha creado este artículo y aún no está registrado en RePEc, le recomendamos que lo haga aquí. Esto permite vincular tu perfil a este elemento. También le permite aceptar citas potenciales a este tema de las que no estamos seguros. Si faltan referencias, puede agregarlas usando este formulario. Si las referencias completas enumeran un elemento que está presente en RePEc, pero el sistema no enlazó con él, puede ayudar con este formulario. Si sabe de los elementos que faltan citando éste, puede ayudarnos a crear esos vínculos agregando las referencias pertinentes de la misma manera que se ha indicado anteriormente, para cada elemento referente. Si usted es un autor registrado de este artículo, también puede comprobar la pestaña "citas" en su perfil, ya que puede haber algunas citas esperando confirmación. Tenga en cuenta que las correcciones pueden tardar un par de semanas en filtrarse a través de los distintos servicios de RePEc. Más servicios Mis ideas Seguir series, revistas, autores & amp; Más Nuevos documentos por correo electrónico Suscribirse a nuevas adiciones a RePEc Registro del autor Perfiles públicos para investigadores de Economía clasificaciones Varios rankings de investigación en Economía & amp; campos relacionados Genealogía ¿Quién fue un estudiante de quien, usando RePEc RePEc Biblio Artículos curados & amp; Diversos temas de economía EconAcademics Agregador de blogs para la investigación económica Plagio Casos de plagio en Economía Documentos del mercado de trabajo RePEc serie de documentos de trabajo dedicados al mercado de trabajo Liga de la fantasía Imagine que está al frente de un departamento de economía Servicios de la Fed StL Datos, investigaciones, aplicaciones & amp; Más de la Fed de San Luis Several ways to approach this. Here are a couple for you. These both require a fully populated Date table, separate from your main data table (facts). 1. Calc the average over the last 84 days (12 full weeks) like this. Where [AvgSalesAmt] is a simple average of SalesAmount for your transactions. FILTER just captures the set of dates that are in that 84 day window from the MAX date. 2. Calc the average over the last 12 weeks based on a week sequence number in your date table. The week sequence number would start at 1 for the very first week in your Date table and continue across all years in the table (no reset at year end). Week Sequence can be accomplished like this in DAX. Note: it would be more efficient to get this pre-calculated from a relational date dimension or in SQL. Regardless, if you need to do it in DAX, this works. The DimDate[CalendarYearWeek] is in the format "yyyy-ww". That will give you a sequence starting at 1. Then you can calculate trailing 12 weeks with this: Let me know if that helps. Brent Greenwood, MS, MCITP, CBIP // Please mark correct answers and helpful posts // http://brentgreenwood.blogspot.com Edited by Brent Greenwood Editor Thursday, May 16, 2013 2:18 PM Proposed as answer by Elvis Long Microsoft contingent staff, Moderator Friday, May 17, 2013 7:28 AM Marked as answer by Elvis Long Microsoft contingent staff, Moderator Monday, May 27, 2013 2:58 AM Thursday, May 16, 2013 2:18 PM Several ways to approach this. Here are a couple for you. These both require a fully populated Date table, separate from your main data table (facts). 1. Calc the average over the last 84 days (12 full weeks) like this. Where [AvgSalesAmt] is a simple average of SalesAmount for your transactions. FILTER just captures the set of dates that are in that 84 day window from the MAX date. 2. Calc the average over the last 12 weeks based on a week sequence number in your date table. The week sequence number would start at 1 for the very first week in your Date table and continue across all years in the table (no reset at year end). Week Sequence can be accomplished like this in DAX. Note: it would be more efficient to get this pre-calculated from a relational date dimension or in SQL. Regardless, if you need to do it in DAX, this works. The DimDate[CalendarYearWeek] is in the format "yyyy-ww". That will give you a sequence starting at 1. Then you can calculate trailing 12 weeks with this: Let me know if that helps. Brent Greenwood, MS, MCITP, CBIP // Please mark correct answers and helpful posts // http://brentgreenwood.blogspot.com Edited by Brent Greenwood Editor Thursday, May 16, 2013 2:18 PM Proposed as answer by Elvis Long Microsoft contingent staff, Moderator Friday, May 17, 2013 7:28 AM Marked as answer by Elvis Long Microsoft contingent staff, Moderator Monday, May 27, 2013 2:58 AM Thursday, May 16, 2013 2:18 PM What is a Moving Average? Investing Using Moving Averages When investing in financial markets. there are many different indicators and systems that you can use to determine when to enter into a position, and just as importantly, when to exit a position. One of the most popular indicators that investors employ to help make intelligent decisions are moving averages. What exactly is a moving average and how can you use it to invest in the financial markets? What is a Moving Average? Simply stated, a moving average is the average price of a stock over time. To be a little more technical, a moving average is a statistical measurement (the mean) of a dynamic set of data (aka “rolling”) that helps to identify trends in the underlying instruments. A 13-week moving average provides the average price of the financial instrument using the stock prices for the preceding 13 weeks. A 50-week moving average uses data from the preceding 50 weeks, etc. Each new day, the oldest day’s data is removed from the population and the current day’s data is added; in this way the population is always equal to 13 weeks’ worth of data, measured from that day back. The moving average is a linear measurement of the average price of a stock over the period in question. The line communicates the historic trend of a stock’s price. Most consumer trading platforms offer moving average indicator tools for use in technical analysis . There are two different types of moving averages that you could use: simple and exponential. Simple vs. Exponential Moving Averages Although both the simple and exponential moving averages provide you with the same type of information, the way that these averages are calculated differ. With a simple moving average, the average is calculated by taking the average price of the security and dividing it by the number of periods that you are using. For example, if you are computing a five-day simple moving average, you take the closing price of the security for the last five days, add them and divide by five. The exponential moving average uses a calculation that puts more emphasis on the most recent price data. Recent changes in price are given greater weight than the more historic measurements, which reflects a greater weight on current news and data than applying equal weight to all periods. This calculation effectively expresses the view that data today is more important (or pertinent) than older data. Moving averages are a lagging indicator As with all lagging indicators, moving averages communicate the direction that an instruments price has moved historically. While the past may predict the future, it may not. A moving average could very well be trending upward and a stock’s price can move downward. A moving average will also “smooth out” volatile data. So if prices bounce around a lot the moving average will provide a much clearer picture of the actual trend. For instance on Financial Trend Forecaster’s NYSE ROC chart you can see whether the 12 month Moving average (red line) is slanting down or up or is basically flat. Trading Strategy: How to Use Moving Averages Moving averages are best used in conjunction with other indicators and are often most valuable when a stock is trending in one direction or another (as opposed to trading in a range). Following are some common uses of moving averages in this situation: A moving that average is trending upward, and the current stock price is above the moving average, may communicate a bullish signal. A bullish (buy) indicator may also arise if a stock crosses the moving average (i.e. moves from below to above it); in contrast, if a stock drops below a moving average (from above), this indicates a bearish (Sell) sentiment. Often, moving averages from different periods are used in conjunction with one another. A short-term moving average may be used in concert with a long-term moving average. If the short-term average moves above the long-term average, this may send a bullish signal (and vice versa). The periods used should mirror your trading horizon. If you are a long-term investor, you should use longer-term moving averages. You can still use a “short” and a “long” term moving average, the averages should just mirror your trading philosophy. In other words, if you plan to hold a position for years, use averages that span weeks or months. If you plan to hold a position for days, then use averages that span hours or days. Using the wrong moving average for your overarching trading strategy will create confusing signals. Using Moving Averages With Other Indicators Many of the other indicators that you may use on your trading platform are based on moving average concepts. For example, the MACD (moving average convergence divergence) is an indicator that uses a fast moving average and a slow moving average to identify when trends are forming. Bollinger bands and some of the other leading indicators also use some kind of moving average. When you plan on trading the market, moving averages can be a valuable tool to use, but they are generally best used in conjunction with other indicators. También. Elliott Wave International (EWI) has released a free 10-page trading eBook: How You Can Find High-Probability Trading Opportunities Using Moving Averages, by Senior Analyst Jeffrey Kennedy. Download Your Free eBook Here. About the Author: April Santos manages her own financial portfolio and actively uses moving averages as a basis for her technical research, particularly when making entry and exit decisions. She also works as a freelance writer for the team at www.generalinsuranceagency.com. who believe that everyone should work to develop their financial acumen. Statistics Calculator: Mean Absolute Deviation (MAD) Mean Absolute Deviation Calculator Instrucciones This calculator computes the mean absolute deviation from a data set: You do not need to specify whether the data is for an entire population or from a sample. Simplemente escriba o pegue todos los valores observados en el cuadro de arriba. Los valores deben ser numéricos y pueden estar separados por comas, espacios o nueva línea. Press the "Submit Data" button to perform the computation. To clear the calculator, press "Reset". What is the mean absolute deviation The mean deviation is a measure of dispersion. Una medida de por cuánto los valores en el conjunto de datos es probable que difieran de su media. El valor absoluto se utiliza para evitar desviaciones con signos opuestos que se anulan mutuamente. Mean absolute deviation formula This calculator uses the following formula for calculating the mean absolute deviation: where n is the number of observed values, x-bar is the mean of the observed values and x i are the individual values. &dupdo; 2009-2016 Giorgio Arcidiacono Chapter 1 Introduction to Supply Chain Management MGMT 472 Homework assignment 2 1. According to the text, key ingredients for developing successful supply partnerships include all of the following EXCEPT: a. Personal relationships b. Individualized objectives c. Mutual benefits and needs d. Performance metrics 2. The combination of the purchase price of a good and additional costs incurred before or after product delivery can be referred to as: a. Total cost of acquisition b. Total cost of ownership c. Purchase requisition cost d. Total procurement cost 3. Benefits of implementing an effective supplier certification program include all or the following EXCEPT: a. Building long-term relationships b. Reducing time spent on incoming inspections c. Increasing supplier base d. Recognizing excellence 4. A company using a weighted-criteria evaluation system has established these 5 categories and the appropriate weight in parentheses: Quality (0.30) Responsiveness (0.20) Delivery (0.20) Cost (0.20) Technology (0.10) Company X received the following ratings in each of the five categories: Quality(90), Responsiveness(80), Delivery(80), Cost(90), Technology(90). What is their total score? a. 87.0 b. 85.5 c. 86.0 d. 84.0 5. SRM software should be capable of: a. Automating transactional processes b. Making information flow between partners more visible c. Integration of the supply chain making it possible to monitor multiple departments and processes both internally and externally d. Todos estos Data Set E1 Period 1 2 3 4 5 6 7 8 9 10 Sales Volume 10000 12400 14250 15750 20500 18500 15750 20500 21500 22550 6. Using Data Set E1, what would be the forecast for period 7 using a four period moving average: (Choose the closest answer.) a. 17625 b. 15225 c. 15300 d. 17250 7. Using Data Set E1, what would be the forecast for period 6 using a five period weighted moving average? The weights for each period are 0.05, 0.10, 0.20, 0.30, and 0.35 from the oldest period to the most recent period, respectively. (Choose. Please sign up to read full document. YOU MAY ALSO FIND THESE DOCUMENTS HELPFUL  Introduction When in 2003, two new parents searched for a diaper bag that looked great and worked well, they found nothing. So they invented something. Almost decade and hundreds of products later, Skip Hop grew into a well-recognized global brand that is known for its innovative, great design and the highest quality baby products. Even though company has only 50 employees and is considered a small company, it profited $7 million last. 2743 Words | 13 Pages  CHAPTER 1 . 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They. 2156 Words | 6 Pages Chapter Review 1 -3 Principles of Supply Chain Management . 3ed Wisner, Leong, Tan 2012 Chapter Review 1 -3 Chapter One: Introduction To Supply Chain Management A Supply Chain is the steps necessary for a manufacturer to procure materials, build a product, and transport the product to. 1646 Words | 5 Pages SCM 1 Success Factors in Supply Chain Management 6 Success Factors in Supply Chain Management xxx CMGT556 March 2, 2014 Sutap Chatterjee SUCCESS FACTORS IN SUPPLY CHAIN MANAGEMENT SUPPLY CHAIN MANAGEMENT Supply chain management (SCM) works with the process. 1170 Words | 16 Pages How SNZ computes the components X12 ARIMA How does Statistics New Zealand compute the components of the seasonal model? Statistics New Zealand uses X-12-ARIMA (predominately version 0.2.6) to estimate the trend, seasonal and irregular component components of the seasonal model. The estimates produced are a reasonable approximation of what really happens. There is no single "best" decomposition. The decomposition depends on the quality and amount of consistent data available. Changes in the series, such as changes in data collection methodology, cause difficulties in quantifying the components. back to top What is X-12-ARIMA? X-12-ARIMA is a seasonal adjustment program developed at the United States Bureau of the Census. The program is based on the bureau's earlier X11 program and the X-11-ARIMA/88 program developed at Statistics Canada. How does X-12-ARIMA work? The following diagram and description is a simple summary of the key points in the X-12 process within X-12-ARIMA for a multiplicative model. m.a. - moving average A - actual (observed) series C - trend series S - series of seasonal factors I - irregular series SI - detrended series obtained by removing the trend from the actual series Sequence of steps illustrated above: A preliminary trend cycle (C') is obtained using weighted moving means of the actual (A). This trend is removed from the actual series to obtain a "detrended" series (S x I = A/C'). Seasonal factors (S') are estimated from the detrended series by taking weighted moving means for each group of months/quarters separately. A new estimate of irregular components is obtained by removing the seasonal component from the detrended series (I'=A / (C'*S')). Outliers are identified from the estimate of irregular components (I'), and the actual value is temporarily replaced by an imputed value (A'). More on outlier treatment. A new trend cycle (C') is obtained from the modified actuals (A'). A new detrended series is obtained by removing the trend estimate from the modified actuals ( A'/C') A new set of seasonal factors (S') are obtained from the detrended series by taking weighted moving means for each group of months/quarters separately. A seasonally adjusted series is obtained by removing the seasonal factors from the modified actuals (SA'=A'/S'). A new trend cycle (C') is obtained from the seasonally adjusted series (SA') using weighted moving means. 11-14 Steps 2-10 are repeated to produce the final set of seasonal factors (S), trend (C), and irregular components ( A/(S*C)) For more details the following Adobe Acrobat pdf file is available to download. (86Kb) "How the X-11 program implements a trend-seasonal decomposition" (Alistair Gray) What moving averages (filters) are used by X-12-ARIMA? The particular set of weights used to calculate the moving average is the called the filter. The preliminary trend is either a 5-term centred moving average for quarterly data, or a choice of 9-, 13-, or 23-term for monthly. X-12-ARIMA selects longer filters for series with larger irregular components. X-12-ARIMA uses a Henderson filter for the final trend estimation. For more details see . Doherty M (2001). "The Surrogate Henderson Filters in X-11", The Australian and New Zealand Journal of Statistics. 43:4, 385-392. The moving averages for the seasonal factors are more complex. Generally different filters are applied for different months/quarters, as some seasonal factors are more stable than others. What are Statistics New Zealand's default parameter settings for decomposing series? Sigma weights At Statistics New Zealand: Observations with values more than 2.8 standard deviations away from the mean are given a weight of 0. Observations between 1.8 and 2.8 standard deviations are given a weight between 0 and 1. These 1.8 and 2.8 are sometimes referred to as the "sigma weights". The defaults in X-12-ARIMA are (1.5, 2.5), but if we downweighted using these limits for New Zealand series, we would discard many observations. New Zealand's economy is very small compared to the United States or Canada where X-11/X-12-ARIMA was developed. This smaller economy leads to more volatility in the series, which we allow for by increasing our sigma limits to make greater use of real data. Type of adjustment Does Statistics New Zealand freeze any of its decompositions? The official decomposition is fully revised in all but two series. The exceptions are: The CPI is never revised. BOP decomposition is frozen once it is one year old. back to top Should known extremes be removed from the data before seasonal adjustment? It is preferable to make use of prior knowledge to remove extremes, rather than let X-12-ARIMA estimate it. The program is likely to identify the extreme, but may not estimate its size accurately, thus slightly distorting the seasonal component. For example, in the merchandise trade series Statistics New Zealand made a prior adjustment of $M 563 in the second quarter of 1997 for the purchase of a frigate. How are the trading day factors calculated by X-12-ARIMA? The X-12-ARIMA seasonal adjustment package has an in-built option that performs this. The X-12-ARIMA manual explains the process: "Seven daily weights are estimated by regressing the irregular series upon the number of times each day of the week occurs in each particular month." "The irregular component is the bit left over when the seasonal factor and trend have been removed from the data. What X-12-ARIMA does, in effect, is, for each of the seven days separately, plot the irregular component against the number of occurences of the days in the month." It then works out a line that joins the "middle" of the two sets of points. (The method used is ordinary least squares.) The slope of the line dictates the weight: / indicates a weight greater than 1 \ indicates a weight less than 1 - indicates a weight = 1. back to top What indicates a good quality seasonal adjustment? A good seasonal adjustment can be done only if a time series has an identifiable seasonal pattern, which consist of peaks and troughs, occurring in the original series at approximately the same time every year. The more irregular the pattern, the harder it is to separate components for further extracting and removing the seasonal component from a time series. A good seasonal adjustment can be judged by looking at a graph of the original series in comparison to the seasonally adjusted series. If the period to period changes in the original are not greatly reduced by the period to period seasonally adjusted series, then it is not a good adjustment. Another way to judge a good seasonal adjustment is to look at the quality control statistics implemented into the X-12-ARIMA program. These statistics allow you not only to judge the quality of seasonal adjustment of a time series at a particular time, but also to monitor the quality of adjustment over time, and compare the strength and pattern of seasonal variations of different time series. The United States Bureau of the Census state in their FAQ page (http://www.census.gov/mrts/www/faq.html ): There should be no residual seasonal effect in the seasonally adjusted series. The seasonally adjusted series is the combination of the trend cycle and the irregular component. Neither of these components should contain seasonality. Error de servidor en la aplicación '/'. Error en tiempo de ejecución Descripción: Se produjo un error de aplicación en el servidor. La configuración de error personalizado actual para esta aplicación evita que los detalles del error de aplicación se vean de forma remota (por razones de seguridad). Sin embargo, podría ser visto por los navegadores que se ejecutan en la máquina del servidor local. Detalles: Para permitir que los detalles de este mensaje de error específico se puedan ver en máquinas remotas, cree un & lt; customErrors & gt; Dentro de un "web.config" Archivo de configuración que se encuentra en el directorio raíz de la aplicación web actual. Este & lt; customErrors & gt; Etiqueta debe tener su "modo & quot; Atributo establecido en & quot; Off & quot ;. Notas: La página de error actual que está viendo puede ser reemplazada por una página de error personalizada modificando el parámetro & quot; defaultRedirect & quot; Atributo de la aplicación & lt; customErrors & gt; Etiqueta de configuración para que apunte a una URL de página de error personalizada. An Asymptotic Expansion for the Distribution of the Likelihood Radio Criterion for a Gaussian Autoregressive Moving Average Process Under a Local Alternative Abstract: In this paper, we shall derive the asymptotic expansion for the distribution of the likelihood ratio criterion for a Gaussian autoregressive moving average process under a sequence of local alternative hypotheses converging to the null hypothesis with rate of convergence null where n is the sample size. Explicit algebraic formulae are presented for certain special cases, including the ARMA(1,1). Related works: This item may be available elsewhere in EconPapers: Search for items with the same title. Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Econometric Theory is currently edited by April More articles in Econometric Theory from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK. Series data maintained by Keith Waters ( ). Monthly Archives: September 2015 Search here at one moment in the football game, player A exert a force to the waist on player B. at the same time ,a teammate of A exerts the same sized force to the south on player B. in what direction is B likely to go because of these forces? Our text points out that the Exponentially Weighted Moving Average (EWMA) control charts are functionally equivalent to the X & Rm charts when r = 1. This effectively means that the latter are simply a special case of the former. Choosing the r factor has a major effect on the charts that are produced. Additionally, the size of the Range subgroupings (n) selected also impacts the charts, but in slightly different ways. For any set of sample data collected, the choice of r and n determines what the control charts will look like. Think about the use of these two factors and how they might impact the sensitivity of the control charts. What effects would you expect to see if you increased the number of values being used to calculate the ranges (n), or decreased the weighting factors being used (r), or both? In what kind of circumstances might these adjustments be helpful? art 1: Some of the more characteristic doctrines of the Enlightenment focused on the power and goodness of human rationality: 1) Reason is the most significant and positive capacity of the human; 2) reason enables one to break free from primitive, dogmatic, and superstitious beliefs holding one in the bonds of irrationality and ignorance; 3) in realizing the liberating potential of reason, one not only learns to think correctly, but to act correctly as well; 4) through philosophical and scientific progress, reason can lead humanity as a whole to a state of earthly perfection; 5) reason makes all humans equal and, therefore, deserving of equal liberty and treatment before the law; 6) beliefs of any sort should be accepted only on the basis of reason, and not on traditional or priestly authority; and 7) all human endeavors should seek to impart and develop knowledge, not feelings or character. (pbs.com) Benjamin Franklin, Thomas Paine, and Thomas Jefferson embodied the Age of Enlightenment. Use your choice of three of the seven doctrines to explain and prove these author’s philosophies. Make sure you draw on our readings to support your choices. Next, consider and discuss how these doctrines have been advanced, tested, and revised as the nation has grown and evolved. Part II: Briefly describe several, meaning more than two, of the conditions of the slave ship as experienced by Olaudah Equiano and related in his narrative. Compare his narrative to that of Phillis Wheatley’s experience. You must use selected quotes from each, but then interpret, in your own words, what the quotes mean and what their impact is on the reader. Construct a 2-4 page paper that fully explores each of the following areas: 1) Citing our textbook material, explain how the sociological approach toward social problems differs from other approaches. Why are certain problems considered significant and others are not? 2) Next, choose one social problem that exists in society that you think is particularly serious, and explain it in sociological terms. This social problem should be measurable in some statistical way. (Is it increasing, and if so, how? Among which groups of people, and for how long, etc.?) 3) What might be one important way in which the social problem is currently being addressed in society? 4) Please define and identify at least four concepts from our text relevant to your chosen social problem. 5) Analyze the way in which these concepts help us better understand the nature of the social problem you are discussing. Don’t forget to include proper APA-style citation and reference. Need inside citing for each paragraph and NO PLAGIARISM. Everything should come from the book “Social Problems: Community, Policy, and Social Action, 4th Edition” By:Anna Leon-Guerrero 1.Make a claim as to whether the number of times an investment is compounded per year or the annual interest rate have a larger impact on the total return of an investment. 2. Provide evidence supporting your claim. if a projectile is shot vertically upward from the ground with an initial velocity of 150 ft per sec. Neglecting air resistance, its height S (in feet) above the ground t seconds after projection is given by S=-16ft^2 + 150t after how many seconds will it be 60ft above the ground? 1. According to Ryan & Siebens (2012) __________ of adults 25 years old completed at least a high school degree and more than __________ of all adults had attained at least a bachelor’s degree. A.50.2%; 15.5%. B.70.3%; 18.4%. C.C) 85.3%; 27.9%. D.78.4%; 20.7%. 2. Which of the following was not identified as a manifest function of the social institution of education? A.personal development. B.educate. C.proper socialization. D.supervision. 3. Which of the following sociological perspectives is/are concerned that schools often indoctrinate students in the U.S. in Western bureaucratic ideology? A.Functionalism. B.Interactionism. C.Conflict. D.Conflict and Interactionism. 4. The sociological concept of “definition of the situation” was developed by: A.W.I. Thomas and Dorothy Swaine Thomas. B.W.I. Thomas. C.Rosabeth Moss Kanter. D.R. S. Smith. 5. According to the research of Myra and David Sadker (1994): A.boys receive less praise, corrections, and feedback than girls in school. B.girls receive less attention than boys in school. C.boys receive less attention than girls in school. D.girls and boys receive about the same amount of attention, praise, correction, and feedback in school. 6. The number of elderly Americans in the workforce has decreased over the last decade. True False 7. According to the author, the current call for educational reform was initiated during the __________ administration. A.Clinton. B.Reagan. C.Bush. D.Nixon. 8. The No Child Left Behind Act was passed during the __________ administration. A.Bush. B.Clinton. C.Reagan. D.Ford. 9. While the U.S. spends __________ on education than other high-income countries, our literacy scores are __________ in a world comparison. A.less; above average. B.less; average. C.more; average. D.more; below average. 10. According to the textbook, which of the following countries did not score higher than the U.S. on literacy scores? A.Sweden. B.Japan. C.Canada. D.Norway. 11. The U.S. Bureau of Statistics reported a __________ unemployment rate in December 2009. A.18. 2 million B.7.1 million C.12.7 million. D.18.4 million 12. Frances is working at a job that is below her skill level. Frances can be considered to be __________. A.unemployed. B.underemployed. C.not in the workforce. D.disemployed. 13. Persons who are __________ and __________ have high underemployment rates compared to those outside their groups. A.female; college educated. B.elderly; non-college educated. C.college educated; young. D.young; ethnic/racial minorities. 14. According to the 1993 report cited in your textbook, which of the following groups had the highest rates of labor force nonparticipation? A.blacks and Puerto Ricans. B.blacks and Native-Americans. C.Asians and blacks. D.Asians and Puerto Ricans. 15. Which of the following countries is expected to be the recipient of the largest number of outsourced jobs from the United States? A.Canada. B.India. C.China. D.Brazil. 16. Low-wage workers are characterized as: A.minority. B.female. C.disabled. D.both a and b are correct. 17. __________ defines job stress as the harmful emotional or physical responses that occurs when one’s job characteristics do not match with the capabilities, resources, or needs or the worker. A.Occupational Safety and Health Administration. B.Department of Commerce. C.National Institute for Occupational Safety and Health. D.Department of Health and Human Services. 18. Under Title VII of the Civil Rights Act of 1964, employment discrimination based on __________ is prohibited. A.religion and sexual orientation. B.sex. C.national origin and disability. D.both b and c are correct. 19. While laws were created to stop workplace discrimination on the basis of race, religion, sex, and national origin in 1964, the Factual Background Having to find a refreshing air-conditioned place to be in on an extremely hot day is quite simple. After many years of not going to the movies due to studying, working for 20 hours a week, and attending his classes for his business major at his local university, Tommy is not a regular movie goer but had decided to be cool down inside the Royal 16 Theater in the Eastfield Mall. So, he had looked into the movie section of the newspaper and had decided to see the movie “The Governator” that was advertised to begin at 1:00 pm. Having to take a look of the time he had rushed it to the theater because he does not like to arrive late and be looking for a seat in the dark. So, he had made it within 15 minutes. As he was going to purchase the movie ticket, Tommy had asked the cashier for the time of the movie, in which, she had stated that it will begin in 15 minutes at 1:00 pm. Hence, Tommy had bought the ticket for $9, where this purchase was too expensive for him. Tommy had told the cashier about early times being discounted but, the cashier had explained to him that “The Governator” was a blockbuster movie that the theater owner had decided to not reduce the price for it. Therefore, he had purchased the ticket which had stated that the movie was at 1:00 pm. Then, he had decided to stop by the refreshment counter despite of the long line there was. Tommy had spent another $9 in buying a large popcorn, a large soda, and a super-size candy bar. So, he was finally heading to the theater where “The Governator” will be shown. When he had found the right room, he had walk down the aisle spotting the seat that he preferred to seat in. As he got to the seat, he had noticed that he had less popcorn and soda due to squeezing and passing other moviegoers. After, Tommy had noticed that he had 10 seconds to spare before the lights had started to dim. Looking at the screen, Tommy was not very satisfy. Yet, he was upset of having to pay $18 for seeing commercials. Tommy was worried of having to rush it and worrying about the time, when he had extra time since the movie did not start at 1:00 pm as it was advertise, told by the cashier, and was stated on the movie ticket. However, Tommy got over it and had watched the commercials, but then as the movie began, Tommy was not liking one bit of it. So, he gave it another 30 minutes but was not convince to stay. Therefore, “The Governator” was not the movie for Tommy to be spending $9 for. Having to sit there and watched 20 minutes of commercials and a movie not worth seeing, Tommy had stormed off to see the manager. Having to speak with the manager asking for a refund, the manager had stated that the owner of the theater does not do refunds. So, Tommy had taken inconsideration of this and had decided to sue Royal 16 Theater for violating his legal rights and so as every moviegoer. Also, he had decided to write, Mr. Mull T. Plex, the owner of the Royal 16 Theater, a letter of dissatisfaction that stated that Tommy will pursue a class action lawsuit. So, looking into this case, Mr. Plex had formed a consortium with other local theaters that can help with this lawsuit. As his workers, Mr. Plex had asked to look into the case and provide a report that can help us with Tommy’s case. We will evaluate the fraud liability and do a survey to customers and a statistical analysis that will show if customers have the same problem as Tommy. After seeing the report, Mr. Plex will decide if Tommy has the right in this case or to defend himself. AERN 45350 Avionics Name: _______________________________ 1 | P a g e Homework Set One (40 Points) Due: 25 September 2015 General Instructions: Answer the following questions, submitting your answers on Blackboard. SHOW YOUR WORK on any math problems. Consider the following voltage signal: V t 12sin377t 1. What is the peak voltage of the signal [Volts]? 2. What is the angular frequency [rad/sec]? 3. What is the frequency of the signal [Hz]? 4. What is the period of the signal [sec/cycle]? In a heterodyne receiver, the intermediate frequency of the receiver is 21.4 MHz. 5. What is the local oscillator frequency (f1) if the tuned frequency (f2) is 120.9 MHz? 6. If the local oscillator frequency (f1) is 145.7 MHz, what is the tuned frequency (f2)? The gain of a power amplifier is 5. 7. If 30W are coming in, what is the power going out? 8. What is the gain in decibels (dB)? The attenuation of a voltage attenuator is 10. 9. If 120V are coming in, what is the voltage going out? 10. What is the loss in decibels (dB)? 11. What is the component of the ILS that provides the extended centerline of the runway? 12. What is the component of the ILS that provides vertical guidance to the runway? 13. If the aircraft is on the correct trajectory, the airplane will arrive at the outer marker on the ILS corresponding to intercepting what? 14. If the aircraft is on the correct trajectory, the airplane will arrive at the middle marker on the ILS corresponding to reaching what? 15. All marker beacons transmit at what frequency? 16. Why doesn’t this cause problems (all marker beacons transmitting on the same frequency)? 17. What are the four components to an ILS? 18. What is the most common ILS category? 19. Which ILS category requires aircraft with the “auto-land” feature? 20. An attenuator leads to a power ratio of 0.5. What is that in decibels (dB)? Log In Screen On NeoGenomics, Inc. breached its 50 day moving average in a Bearish Manner. January 5, 2016 Share Price Performance Relative to Peers Compared to peers, relative outperformance over the last year has faded more recently. NEO-US ‘s change in share price of 84.84% for the last 12 months is better than its peer median. However, the 30-day trend in its share price performance of -3.69% is now around the peer median suggesting that the company’s recent performance has faded relative to peers. Quadrant label definitions. Hover to know more Leading, Fading, Lagging, Rising Screen for companies using relative share price performance Earnings Momentum NeoGenomics, Inc. has an earnings score of 48.89 and has a relative valuation of OVERVALUED. Stocks with High Earnings Momentum are a preferred option for momentum plays. If they are undervalued, it can be a further advantage and may indicate sustained momentum. Quadrant label definitions. Hover to know more Overvalued, High Earnings Momentum, Undervalued, High Earnings Momentum, UnderValued, Low Earnings Momentum, Overvalued, Low Earnings Momentum Screen for companies using Earnings Momentum Score Capital Cube Moving Average Moving averages are used to smooth trends. A 10-day simple moving average would be the mathematical average of the closing prices over the last 10 days.  An exponential moving average is similar to a simple moving average but places more emphasis on recent price movements.   A 200-day price moving average is very popular among longer-term investors. For intermediate term traders, a widely used parameter is a 10-week (50-day) price moving average. Some technicians interpret crossovers of moving averages as buy or sell signals. If you would like to provide feedback on this topic, please email us at [email protected] Please include the title of the topic in your email. If you need technical assistance, please contact our technical support department at [email protected] or by calling 919-408-0542.  Online chat support is also available at www.worden.com.   Contact Info Site Search Moving Average Range Charts Since 1982: The art & science to improve your bottom line Quality America offers Statistical Process Control software, as well as training materials for Lean Six Sigma, Quality Management and SPC. We embrace a customer-driven approach, and lead in many software innovations, continually seeking ways to provide our customers with the best and most affordable solutions. Leaders in their field, Quality America has provided software and training products and services to tens of thousands of companies in over 25 countries. Copyright y copia; 2013 Quality America Inc. Dow to Gold Ratio - 100 Year Historical Chart This interactive chart tracks the ratio of the Dow Jones Industrial Average to the price of gold. The number tells you how many ounces of gold it would take to buy the Dow on any given month. Previous cycle lows have been 1.94 ounces in February of 1933 and 1.29 ounces in January of 1980. Data Sources: Dow Jones, Yahoo Finance, LBMA Download Historical Data Export Image Click and drag in the plot area or select dates: Last 12 Months | 5 Years | 10 Years | 20 Years | 30 Years | All Data Loading interactive chart. Interactive chart of historical data for real (inflation-adjusted) gold prices per ounce back to 1915. The series is deflated using the headline Consumer Price Index (CPI) with the most recent month as the base. The current month is updated on an hourly basis with today's latest value. Interactive chart of historical data for real (inflation-adjusted) silver prices per ounce back to 1915. The series is deflated using the headline Consumer Price Index (CPI) with the most recent month as the base. The current month is updated on an hourly basis with today's latest value. Compares the movement in the dollar index (major trading partners) with gold and oil prices over the last ten years. The three series are compared using standard deviation. This interactive chart compares the movement in the real dollar index with gold and oil prices since 1974. The oil and gold series are adjusted for CPI inflation and the real dollar index is adjusted for the relevant trading partners own currency inflation rates. This interactive chart tracks the current and historical ratio of gold prices to silver prices. Historical data goes back to 1915. The 5 year and 10 year moving averages have been added to smooth out volatility and show the longer term trend. The current month shows the latest daily closing values. This interactive chart compares the four largest market bubbles of the last 100 years. It includes the Dow Jones Industrial Average in the 20s, gold in the 70s, technology stocks in the 90s and the recent oil price bubble. This interactive chart tracks the ratio of the price of gold per ounce over the price of oil per barrel. It tells you how many barrels of oil you can buy with one ounce of gold. This interactive chart tracks the the performance of gold since July of 2002 against the three largest bubbles of the last 40 years. Past bubbles have shown strong but steady growth for the first 7-8 years before moving into a hyper-growth phase for the last 18-24 months. Each series is adjusted for inflation and is smoothed with a 3-month moving average. This interactive chart shows the inflation adjusted performance of the FHFA Housing Index, Gold, Oil and the NASDAQ since 1976. The world financial system moved from the relative discipline of the gold-dollar, fixed-currency standard to a system of free-floating currencies in 1973. This move unleashed a series of asset pricing bubbles over the subsequent decades. This interactive chart shows the ratio of gold (priced in dollars) to the S&P 500 market index. This ratio is a good indicator of investor confidence in the dollar/fiat currency system. A low ratio signifies high confidence (gold low, S&P high) and a high ratio signals a lack of confidence (gold high, S&P low). The ratio hit its peak of 5.94 back in January of 1980 when gold briefly traded over $800 an ounce. This interactive chart shows the ratio of the gold price to the St. Louis Adjusted Monetary Base back to 1918. The monetary base roughly matches the size of the Federal Reserve balance sheet, which indicates the level of new money creation required to prevent debt deflation. Previous gold bull markets ended when this ratio crossed over the 4.8 level. The Moving Average (Weighted) function returns the moving average of a field over a given period of time, with emphasis given to more recent values. Parameters ------------------ Data The data to use in the average. This is typically a field in a data series or a calculated value. Period The number of bars of data to include in the average, including the current value. For example, a period of 3 includes the current value and the two previous values. Function Value ------------------------ The weighted moving average is calculated by averaging together the previous values over the given period, including the current value. These values are weighted linearly, with the oldest value receiving a weight of 1, the next value receiving a weight of 2, and so on up to the current value, which receives a weight equal to the period. The moving average at the beginning of a data series is not defined until there are enough values to fill the given period. Note: For more exagerated weighting on the current values, you may want to use an exponential moving average. You could also average two or more weighted moving averages together. Usage ---------- Moving averages are useful for smoothing noisy raw data, such as daily prices. Price data can vary greatly from day-to-day, obscuring whether the price is going up or down over time. By looking at the moving average of the price, a more general picture of the underlying trends can be seen. Since moving averages can be used to see trends, they can also be used to see whether data is bucking the trend. Entry/exit systems often compare data to a moving average to determine whether it is supporting a trend or starting a new one. See the sample entry/exit systems for an example of using a Moving Average in an entry/exit system. Chart Trendline Formulas When you add a trendline to a chart, Excel provides an option to display the trendline equation in the chart. This tip describes how to create formulas that generate the trendline coefficients. You can then use these formulas to calculate predicted y values for give values of x. These equations assume that your sheet has two named ranges: x and y. Linear Trendline Logarithmic Trendline Power Trendline Exponential Trendline 2nd Order Polynomial Trendline 3rd Order Polynomial Trendline Higher Order Polynomial Trendline Notice the pattern in the two preceding sets of formulas. Excel Tips Excel has a long history, and it continues to evolve and change. Consequently, the tips provided here do not necessarily apply to all versions of Excel. In particular, the user interface for Excel 2007 (and later), is vastly different from its predecessors. Therefore, the menu commands listed in older tips, will not correspond to the Excel 2007 (and later) user interface. All Tips Browse Tips by Category Search for Tips Tip Books Needs tips? Here are two books, with nothing but tips: Contains more than 200 useful tips and tricks for Excel 2007 | Other Excel 2007 books | Amazon link: John Walkenbach's Favorite Excel 2007 Tips & Tricks Contains more than 100 useful tips and tricks for Excel 2013 | Other Excel 2013 books | Amazon link: 101 Excel 2013 Tips, Tricks & Timesavers © Copyright 2016, J-Walk & Associates, Inc. This site is not affiliated with Microsoft Corporation. Privacy Policy Velocity Range Calculator The velocity range calculator below is one of the free agile tools available from Mountain Goat Software. This agile project management tool is used to predict how much work a team will complete during a planned number of upcoming iterations, we are better off considering velocity as a range rather than a specific value. That is, rather than saying “our average historical velocity is 17,” it is better to say something like, “Based on historical data, we are 90% confident that velocity for the remaining iterations on this project will be somewhere between 13 and 19.” To calculate a range around your velocity, you need data for at least five iterations. Enter them in the field at right in any order (lowest to highest, random, most recent first, etc.). You can optionally indicate how many iterations remain in the project. This number will be used to tell you how much work can likely be completed in that time. For more information on how to use this technique see Chapter 15, “Planning,” of Succeeding with Agile: Software Development using Scrum . How It Works The velocity confidence interval calculator works by calculating a confidence interval around the median using the Binomial distribution. In this technique, velocity values are sorted from lowest to highest. Based on the number of observed velocities provided, some of the lowest and highest values (the most extreme outliers) are discarded. With five velocity observations, all five are used to determine a 90% confidence interval. With eight observations, however, we can discard the lowest and highest and still be 90% confident that true velocity lies between the second highest and seventh highest values. Assuming n observations, the formula for calculating a 90% confidence is given by j = n/2 – 1.645 (n*0.25) 0.5 k = n/2 + 1.645 (n*0.25) 0.5 where j and k represent the velocity observations to use. Round results up to the next highest value. An Example Using This Free Agile Tool Suppose we have the sorted velocity values: 17, 18, 20, 20, 21, 23, 23, 27 j = 8/2 – 1.645(8*.0.25) 0.5 j = 4 – 1.645 * 2 0.5 j = 4 – 1.645 * 1.41 j= 4 – 2.31945 j=1.68055 which is rounded to 2 k = 8/2 + 1.645(8*0.25) 0.5 k = 4 + 1.645*2 0.5 k = 4 + 1.645 * 1.41 k = 4 + 2.31945 k = 6.31945 which is rounded to 7 We therefore use the second and seventh velocities in the sorted list. This gives a range of 18–23. We can say that we are 90% confident that the team's true velocity is in the range of 18 to 23. If the team has, say, 5 sprints left and we assume that future velocity will equal past velocity we could say we are 90% confident the team will complete between 5*18=90 and 5*23=115 units of work. Sign Up for Mike Cohn’s Weekly Email Tips Sign up for Mike’s weekly tips email and get a free download, ”101 Inspiring Quotes About Agile.” Discover 101 of the agile community's favorite quotes in a visually pleasing ebook. Contáctenos Any measurement made with a measuring device is approximate. If you measure the same object two different times, the two measurements may not be exactly the same. The difference between two measurements is called a variation in the measurements. Another word for this variation - or uncertainty in measurement - is " error ." This "error" is not the same as a "mistake." It does not mean that you got the wrong answer. The error in measurement is a mathematical way to show the uncertainty in the measurement. It is the difference between the result of the measurement and the true value of what you were measuring. The precision of a measuring instrument is determined by the smallest unit to which it can measure. The precision is said to be the same as the smallest fractional or decimal division on the scale of the measuring instrument. Ways of Expressing Error in Measurement : 1. Greatest Possible Error: Because no measurement is exact, measurements are always made to the "nearest something", whether it is stated or not. The greatest possible error when measuring is considered to be one half of that measuring unit. For example, you measure a length to be 3.4 cm. Since the measurement was made to the nearest tenth . the greatest possible error will be half of one tenth, or 0.05. 2. Tolerance intervals: Error in measurement may be represented by a tolerance interval (margin of error). Machines used in manufacturing often set tolerance intervals, or ranges in which product measurements will be tolerated or accepted before they are considered flawed. To determine the tolerance interval in a measurement, add and subtract one-half of the precision of the measuring instrument to the measurement. For example, if a measurement made with a metric ruler is 5.6 cm and the ruler has a precision of 0.1 cm, then the tolerance interval in this measurement is 5.6 0.05 cm, or from 5.55 cm to 5.65 cm. Any measurements within this range are "tolerated" or perceived as correct. Accuracy is a measure of how close the result of the measurement comes to the "true", "actual", or "accepted" value. (How close is your answer to the accepted value?) Tolerance is the greatest range of variation that can be allowed. (How much error in the answer is occurring or is acceptable?) 3. Absolute Error and Relative Error: Error in measurement may be represented by the actual amount of error, or by a ratio comparing the error to the size of the measurement. The absolute error of the measurement shows how large the error actually is, while the relative error of the measurement shows how large the error is in relation to the correct value. Absolute errors do not always give an indication of how important the error may be. If you are measuring a football field and the absolute error is 1 cm, the error is virtually irrelevant. But, if you are measuring a small machine part (< 3cm), an absolute error of 1 cm is very significant. While both situations show an absolute error of 1 cm. the relevance of the error is very different. For this reason, it is more useful to express error as a relative error. We will be working with relative error. Absolute Error: Absolute error is simply the amount of physical error in a measurement. For example, if you know a length is 3.535 m + 0.004 m, then 0.004 m is an absolute error. Absolute error is positive. In plain English: The absolute error is the difference between the measured value and the actual value. ( The absolute error will have the same unit label as the measured quantity.) Relative Error: Relative error is the ratio of the absolute error of the measurement to the accepted measurement. The relative error expresses the "relative size of the error" of the measurement in relation to the measurement itself. When the accepted or true measurement is known. the relative error is found using which is considered to be a measure of accuracy. Should the accepted or true measurement NOT be known. the relative error is found using the measured value, which is considered to be a measure of precision. Ways to Improve Accuracy in Measurement 1. Make the measurement with an instrument that has the highest level of precision. The smaller the unit, or fraction of a unit, on the measuring device, the more precisely the device can measure. The precision of a measuring instrument is determined by the smallest unit to which it can measure. 2. Know your tools! Apply correct techniques when using the measuring instrument and reading the value measured. Avoid the error called " parallax " -- always take readings by looking straight down (or ahead) at the measuring device. Looking at the measuring device from a left or right angle will give an incorrect value. 3. Repeat the same measure several times to get a good average value. 4. Measure under controlled conditions. If the object you are measuring could change size depending upon climatic conditions (swell or shrink), be sure to measure it under the same conditions each time. This may apply to your measuring instruments as well. 1. Skeeter, the dog, weighs exactly 36.5 pounds. When weighed on a defective scale, he weighed 38 pounds. (a) What is the percent of error in measurement of the defective scale to the nearest tenth . (b) If Millie, the cat, weighs 14 pounds on the same defective scale, what is Millie's actual weight to the nearest tenth of a pound By U.S. Mail Return bill stub and check in return envelope provided and mail to. Central Hudson Gas & Electric Corp. 284 South Avenue Poughkeepsie, NY 12601 eBills Receive your bills electronically and pay electronically from your bank account. Direct Pay You will continue to receive a paper bill by mail, but your payment will be automatically deducted from your bank account. ezPay One-Time Online Payment Use the Make a Payment page to make a one-time payment . You'll need to enter your 11 digit customer account number and your banking account information. If you are on eBills, use that option instead. By Phone Call Central Hudson's automated phone system at 845-452-2700 or 1-800-527-2714. Have your Central Hudson account number and bank account information handy. In Person Check out the Payment Locations page for a listing of convenient locations throughout our service territory. &dupdo; Central Hudson Gas & Electric Corp. 2013 Most payment agents do accept cash or check while some only accept cash payments. Agent fees vary but are typically in the $0.75 to $1.50 range. Price Chopper locations within Central Hudson service territory are listed below. However, ALL Price Chopper locations accept Central Hudson payments. Price Chopper will collect a $0.75 service fee for each transaction processed. Walmart and Kmart locations within Central Hudson's service territory accept Central Hudson payments. Walmart and Kmart stores only accept cash and PIN debit cards as payment (no checks), and will charge a $1.50 fee for this service. Amenia Food Town Route 22 845-373-9155 Beacon Thrifty Check Cashing/Smokes 4 Less 346 Main Street 845-838-1390 Beacon Ecuamerica Int. Courier 257 Main St. 845-831-6300 Beacon Vogel Pharmacy 234 Main Street 845-831-3784 Catskill Price Chopper 320 West Bridge Street 518-943-3239 Chatham Price Chopper 15 Dardess Dr. 518-392-9007 Cold Spring Foodtown 49 Chestnut Street 845-265-0085 Coxsackie Grand Union RTE 9W 518-731-6173 Dover Plains Carol's Gift Shop 3081 Rt 22 Dover Plaza 845-877-6177 Dover Plains Foodtown 3081 Rt 22 Dover Plaza 845-877-9125 Fishkill Smokes 4 Less 982 Main Street 845-897-8180 Fresh Meadows A & Z Express Fresh Meadow Lane 718-358-6688 Greenville Bryants & GU Market Country Square Route 32 518-966-5396 Highland Hannaford Food & Drug 650 Rt 9W Bridgeview Plaza 845-691-9150 Hopewell Jct. Smokes 4 Less 814 Route 82 845-226-2622 Hudson Price Chopper 351 Fairview Avenue. 518-822-0017 Hyde Park Smokes 4 Less Rt 9/ 580 Albany Post Road 845-229-4118 Jamaica ADA Mini Deli & Grocery Corp. 13122 140th St 718-785-0556 Kingston Hannaford Food & Drug 1261 Ulster Avenue 845-336-0325 Kingston Hannaford Food & Drug Kingston Plaza 845-339-7480 Kingston Kingston Check Cashing 632 Broadway 845-334-8842 Vermani Inc. 784 Ulster Ave 845-331-0588 LaGrange Thrifty Beverage Route 55 479 Freedom Plains Rd 845-471-3610 LaGrangeville Hannaford Supermarket 152 Stringham Rd 845-473-0454 LaGrangeville Smokes 4 Less 1520 ROUTE 55 845-592-4034 Maybrook Homestead Deli 305 Homestead Ave. 845-427-2595 Middleburgh GU Family Markets Route 30 845-827-6473 Millerton GU Markets Rt 44/ Millerton Plz 518-789-3619 Modena Hannaford Supermarket #346 2066 Route 32 845-883-7407 New Windsor Hannaford 2636 Route 32 845-562-5169 New Windsor Smokes 4 Less 317 Windsor HWY STE 300 845-562-7980 Newburgh Chris-Dian Florist 279 Broadway 845-561-1414 Newburgh El Gallo Dorado 53 Mill St. 845-863-0006 Newburgh Newburgh Market Corp. 271 Washington Ave. 845-562-5521 Newburgh Price Chopper 39 North Plank Road 845-569-2620 Newburgh Regina Check Cashing 460 Broadway 845-561-5214 Newburgh Smokes 4 Less 329 Broadway 845-561-4231 Newburgh United Check Cashing *Currently Cash Only Location* 691-697 Broadway 845-562-2654 Newburgh Zagamex Travel Agency 394 Broadway 845-569-2536 Peekskill Ecuamerica Cargo Express 1141 Main St. 914-736-1222 Pine Bush Hannaford Supermarket 31 Ted Drive 845-744-2113 Pine Plains Pine Plains Pharmacy 2965 Church St 518-398-5588 Pleasant Valley Smokes 4 Less A & P Plaza Milestone Square 845-635-9530 Poughkeepsie Casa Latina Supermarket 651 Main St. 845-473-4096 Poughkeepsie Price Chopper 2585 South Road 845-452-1005 Poughkeepsie Smokes 4 Less 2 Raymond Avenue 845-471-6602 Poughkeepsie Smokes 4 Less Home Depot Plaza 3434 North Road 845-471-1826 Poughkeepsie Thrifty Beverage 489 Freedom Plains Road 845-471-3610 Poughkeepsie Thrifty Check Cashing 270 Main Mall 845-471-6276 Poughkeepsie Thrifty Check Cashing 187 North Hamilton St. 845-454-1490 Poughkeepsie Thrifty Check Cashing 1890 South Roadl 845-297-4931 Ravena Ravena Shop & Save 2481 Rt 9W Faith Plaza 518 756-2057 Red Hook Hannaford Supermarket 35 Hannaford Drive 845-758-9330 Saugerties Price Chopper 138 Ulster Ave 845-247-4500 Springfield Gardens Health Conscious 231-20 Merrick Blvd. 718-525-2274 Tannersville GU Markets Route 23A/Main Street 518-589-0048 Vails Gate Price Chopper Route 300 & 94 845-565-8637 Walden Hannaford 76 Oak Street 845-778-2220 Wallkill Price Chopper 101 Dunning Road 845-344-0300 Wappingers Falls Hannaford Food & Drug 1490 Route 9 845-297-8254 Wappingers Falls Smokes 4 Less 1582 Route 9 845-296-1720 Warwick Price Chopper 142 State Highway 94 845-987-6333 &dupdo; Central Hudson Gas & Electric Corp. 2013 Medical Assistant Salary Job Description for Medical Assistant Most of the time, medical assistants work in doctors’ offices, hospitals, or medical clinics. They prepare treatment rooms to make sure that they are clean. They walk patients from waiting rooms to examination or treatment rooms. They interview patients. They take patients’ vital signs, such as temperature, weight, and blood pressure. They write down other information, such as why the patients come to their facility, their symptoms, and medication that patients are currently taking. They must place all information given by their patients in their medical records. They may be responsible for cleaning and sterilizing medical instruments. They may have to apply dressing and/or give medication to patients. They may have to perform routine laboratory tests. They may have to maintain inventory of medical supplies and materials. They may have to order needed materials and supplies directly from authorized vendors or from purchasing departments within their organization. Employers require that medical assistants have a high school diploma or GED certificate. They must also have completed certificate programs from accredited medical assistant schools. Some employers require that candidates have a medical terminology certificate. They must know how to use personal computers, since they may have to enter patients’ information into their employer’s computer system. They must follow employers’ guidelines, policies, and procedures. They must have excellent interpersonal and communication skills. They may be required to train new medical assistants. Medical Assistant Tasks Prepare and administer medications as directed by a physician. Interview and record patients' medical information and measure their vital signs, weight, and height. Collect, prepare and log blood, tissue or other laboratory specimens. Show patients to examination rooms and prepare them for the physician. May assist with administrative duties including scheduling appointments, maintaining medical records, billing, and coding for insurance purposes. Common Career Paths for Medical Assistant Click here to have a similar A+ quality paper 1. A drawback to using _______ when inventory costs are rising is that the company reports lower net income. A. specific-identification costing B. FIFO C. LIFO D. average costing 2. Which of the following is an incorrect statement if ending inventory is overstated? A. Gross profit is overstated. B. Income tax is overstated. C. Cost of goods sold is overstated. D. Net income is overstated. 3. A company has $8,200 in net sales, $1,100 in gross profit, $2,500 in ending inventory, and $2,000 in beginning inventory. The company’s cost of goods sold is A. $5,600. B. $6,200. C. $5,700. D. $7,100. 4. Casey Company’s beginning inventory and purchases during the fiscal year ended December 31, 2012, were as follows: (Note: The company uses a perpetual system of inventory.) Units Unit Price Total Cost January 1—Beginning Inventory 20 $12 $240 March 8—Sold 14 April 2—Purchase 30 $13 $390 June 5—Sold 25 Aug 6—Purchase 25 $14 $350 Sept 11—Sold 22 Total Cost of Inventory $980 Ending inventory is 14 units. What is the cost of goods sold for Casey Company for 2012 using LIFO? A. $308 B. $264 C. $784 D. $801 7. New technology, like the latest cell phones and HDTV, would probably be costed using the A. FIFO method of inventory costing. B. moving-average method of inventory costing. C. LIFO method of inventory costing. D. specific-identification method of inventory costing. 8. To pay the least income tax possible in periods of rising inventory costs, the company should use which inventory costing method? A. Specific identification B. FIFO C. LIFO D. Average cost 9. ABC Corporation pays an invoice for $350 in time to take a 3% discount. The journal entry to record the payment of this invoice is A. debit Accounts Payable $340; credit Cash $340. B. debit Accounts Payable $340; debit Inventory $10; credit Cash $350. C. debit Accounts Payable $350; credit Inventory $10.50, credit Cash $339.50. D. debit Accounts Payable $350; credit Cash $350. 10. Isaiah Sporting Goods uses the perpetual average cost method of determining inventory costs. Below is the inventory record for Product C124: Date Received Sold Cost/Unit Balance What is the average cost per unit after the receipt of the May 17 inventory (rounded to the nearest cent)? April 22 534 $6.58 $3,513.72 May 17 433 $6.70 $2,901.10 June 21 389 $6.76 $2,629.64 August 2 436 $6.44 $2,807.84 A. $6.55 B. $6.00 C. $6.63 D. $7.40 11. Meranda Company reports the following inventory information: What is the total value of the merchandise under LCM (lower-of-cost or market)? Inventory Number Inventory Quantity Unit Cost Unit Market Value APD 3838 325 $56.78 $55.32 CPZ 1212 506 $92.31 $92.78 IXL 4039 817 $77.89 $79.31 EOD 3902 382 $19.38 $19.02 DKS 4823 626 $33.46 $30.74 A. $154,832.90 B. $157,147.60 C. $158,545.60 D. $156,230.80 12. Nick Company reports the following inventory information: What is the total value of the merchandise under LCM (lower-of-cost or market)? Inventory Number Inventory Quantity Unit Cost Unit Market Value APD 4837 440 $51.29 $51.48 CPZ 2837 290 $76.59 $77.02 IXL 9291 310 $42.34 $42.47 EOD 1717 200 $22.19 $21.75 DKS 3088 180 $31.22 $31.17 A. $68,210.30 B. $67,961.70 C. $68,113.30 D. $67,864.70 13. One of the biggest factors in implementing SOX was A. establishing internal control procedures. B. the cost of implementing the system. C. reviewing the financial reports. D. disclosing deficiencies in internal controls. 16. Which of the following is an incorrect statement if ending inventory is understated? A. Net income is understated. B. Income tax is understated. C. Gross profit is overstated. D. Cost of goods sold is overstated. 17. Under Sarbanes-Oxley, those officers signing off on the reports must have evaluated the company’s internal control within the previous A. six months. B. nine months. C. 90 days. D. year. 18. The major difference in the statement of retained earnings between a service business and a merchandising business is A. that the retained earnings statement of a service business includes dividends. B. nothing. There are no differences between the two. C. that the retained earnings statement of a merchandising business includes dividends. D. that the retained earnings statement of a merchandising business shows the cost of goods sold. 19. Goods available for sale are $118,000; beginning inventory is $37,000; ending inventory is $42,000; and cost of goods sold is $77,000. The inventory turnover is A. 1.53. B. 2.99. C. 1.95. D. 1.83. 20. When a company repays the seller for shipping costs on an FOB shipping transaction, which of the following is true? A. A purchase discount can still be taken net of the prepaid shipping charges. B. A purchase discount cannot be taken when shipping charges are prepaid. C. A purchase discount can still be taken on the gross amount of the invoice. D. The shipping costs don’t affect the invoice cost. 1. A drawback to using _______ when inventory costs are rising is that the company reports lower net income. A. specific-identification costing B. FIFO C. LIFO D. average costing 2. Which of the following is an incorrect statement if ending inventory is overstated? A. Gross profit is overstated. B. Income tax is overstated. C. Cost of goods sold is overstated. D. Net income is overstated. 3. A company has $8,200 in net sales, $1,100 in gross profit, $2,500 in ending inventory, and $2,000 in beginning inventory. The company’s cost of goods sold is A. $5,600. B. $6,200. C. $5,700. D. $7,100. 4. Casey Company’s beginning inventory and purchases during the fiscal year ended December 31, 2012, were as follows: (Note: The company uses a perpetual system of inventory.) Units Unit Price Total Cost January 1—Beginning Inventory 20 $12 $240 March 8—Sold 14 April 2—Purchase 30 $13 $390 June 5—Sold 25 Aug 6—Purchase 25 $14 $350 Sept 11—Sold 22 Total Cost of Inventory $980 Ending inventory is 14 units. What is the cost of goods sold for Casey Company for 2012 using LIFO? A. $308 B. $264 C. $784 D. $801 7. New technology, like the latest cell phones and HDTV, would probably be costed using the A. FIFO method of inventory costing. B. moving-average method of inventory costing. C. LIFO method of inventory costing. D. specific-identification method of inventory costing. 8. To pay the least income tax possible in periods of rising inventory costs, the company should use which inventory costing method? A. Specific identification B. FIFO C. LIFO D. Average cost 9. ABC Corporation pays an invoice for $350 in time to take a 3% discount. The journal entry to record the payment of this invoice is A. debit Accounts Payable $340; credit Cash $340. B. debit Accounts Payable $340; debit Inventory $10; credit Cash $350. C. debit Accounts Payable $350; credit Inventory $10.50, credit Cash $339.50. D. debit Accounts Payable $350; credit Cash $350. 10. Isaiah Sporting Goods uses the perpetual average cost method of determining inventory costs. Below is the inventory record for Product C124: Date Received Sold Cost/Unit Balance What is the average cost per unit after the receipt of the May 17 inventory (rounded to the nearest cent)? April 22 534 $6.58 $3,513.72 May 17 433 $6.70 $2,901.10 June 21 389 $6.76 $2,629.64 August 2 436 $6.44 $2,807.84 A. $6.55 B. $6.00 C. $6.63 D. $7.40 11. Meranda Company reports the following inventory information: What is the total value of the merchandise under LCM (lower-of-cost or market)? Inventory Number Inventory Quantity Unit Cost Unit Market Value APD 3838 325 $56.78 $55.32 CPZ 1212 506 $92.31 $92.78 IXL 4039 817 $77.89 $79.31 EOD 3902 382 $19.38 $19.02 DKS 4823 626 $33.46 $30.74 A. $154,832.90 B. $157,147.60 C. $158,545.60 D. $156,230.80 12. Nick Company reports the following inventory information: What is the total value of the merchandise under LCM (lower-of-cost or market)? Inventory Number Inventory Quantity Unit Cost Unit Market Value APD 4837 440 $51.29 $51.48 CPZ 2837 290 $76.59 $77.02 IXL 9291 310 $42.34 $42.47 EOD 1717 200 $22.19 $21.75 DKS 3088 180 $31.22 $31.17 A. $68,210.30 B. $67,961.70 C. $68,113.30 D. $67,864.70 13. One of the biggest factors in implementing SOX was A. establishing internal control procedures. B. the cost of implementing the system. C. reviewing the financial reports. D. disclosing deficiencies in internal controls. 16. Which of the following is an incorrect statement if ending inventory is understated? A. Net income is understated. B. Income tax is understated. C. Gross profit is overstated. D. Cost of goods sold is overstated. 17. Under Sarbanes-Oxley, those officers signing off on the reports must have evaluated the company’s internal control within the previous A. six months. B. nine months. C. 90 days. D. year. 18. The major difference in the statement of retained earnings between a service business and a merchandising business is A. that the retained earnings statement of a service business includes dividends. B. nothing. There are no differences between the two. C. that the retained earnings statement of a merchandising business includes dividends. D. that the retained earnings statement of a merchandising business shows the cost of goods sold. 19. Goods available for sale are $118,000; beginning inventory is $37,000; ending inventory is $42,000; and cost of goods sold is $77,000. The inventory turnover is A. 1.53. B. 2.99. C. 1.95. D. 1.83. 20. When a company repays the seller for shipping costs on an FOB shipping transaction, which of the following is true? A. A purchase discount can still be taken net of the prepaid shipping charges. B. A purchase discount cannot be taken when shipping charges are prepaid. C. A purchase discount can still be taken on the gross amount of the invoice. D. The shipping costs don’t affect the invoice cost. Click here to have a similar A+ quality paper Mensaje de navegación Auditing question Segregation of duties is an important concept in internal control. However, segregation of duties is often a challenge for smaller businesses because they do not have sufficient staff to segregate duties. Normally, the segregation of duties identified below results in either a significant deficiency or a material weakness in internal control. For each “segregation of duties: problem identified here: a. Identify the risk to financial reporting that is associated with the inadequacy of the segregation of duties. segundo. Identify other controls that might mitigate the segregation of duties risks. do. If a control is identified that would mitigate the risks, briefly indicate what evidence the auditor would need to gather to determine that the control is operating effectively. Situations 1. The same individual handles cash receipts, the bank reconciliation, and customer complaints. 2. The same person prepares billings to customers and also collects cash receipts and applies them to customer accounts. 3. The person who prepares billings to customers does not handle cash, but does the monthly bank reconciliation, which, in turn, is reviewed by the controller. 4. A start-up company has very few transactions, less than $1 million in revenue each year, and has only one accounting person. The company’s transactions are not complex. 5. The company has one computer person who is responsible for running packaged software. The individual has access to the computer to update software and can also access records. 1. A bond will pay principal of $1,000 upon maturity in 10 years from now, plus it will pay $60 every six months, including the date of maturity and starting six months from now. What price would you expect to pay for the bond if comparable bonds yield 8 percent? A. $1,272 B. $1,162 C. $815 D. $456 2. What is the yield to maturity on a municipal bond scheduled to pay $10,000 upon maturity 5 years from now? This is a zero-coupon bond selling for $8,220. Round the yield to maturity to the nearest percent. A. 8 percent B. 5 percent C. 4 percent D. 3 percent 3. What is the yield to maturity on a corporate bond scheduled to pay annual interest of $100 and $1,000 upon maturity 3 years from now? The bond is selling for $1,025.31. Round the yield to maturity to the nearest percent. A. 11 percent B. 9 percent C. 8 percent D. 7 percent 4. What is the duration of a bond that will pay $50 per year in coupon payments and $1,000 after four years? Use a discount rate of 10 percent. A. 8.4 years B. 4.0 years C. 3.7 years D. 0.27 years 5. What is the present value of a share of preferred stock that you own indefinitely? The stock’s dividend is $5. The appropriate discount rate is 6 percent. A. $13.33 B. $83.33 C. $852.33 D. $852.98 6. A perpetual bond annually pays interest of $35 and alternative investments yield 14 percent. What is the present value of the bond? A. $250 B. $355 C. $490 D. $505 7. Duration is a better way to compare cash flows than simply comparing present values because A. duration incorporates cash flow volatility. B. present value fails to incorporate the timing of cash flows. C. when maturities differ among compared cash flows, present value inaccurately represents the yield to maturity. D. duration effectively treats cash flows as a perpetuity, incorporating the reinvestment rate. 8. One of the benefits of the laddered approach to managing interest rate risk in a bond portfolio is that A. reinvestment risk is eliminated because you standardize the timing of bond maturities. B. the portfolio includes bonds issued by different organizations, thereby reducing default risk. C. all bonds are liquidated if the investor elects to capitalize on an opportunity. D. when bonds mature at different intervals, you diversify the timing of reinvestment. 9. If you want to maximize safety and earn federally tax-exempt interest, you should buy A. municipal bonds backed by the revenue earned on the project funded by the bond. B. municipal bonds backed by the taxing authority of the issuing government. C. U.S. Treasury bonds backed by the taxing authority of the U.S. federal government. D. U.S. Treasury bills backed by the taxing authority of the U.S. federal government. 10. To participate in the U.S. national mortgage market by investing in bonds, the best way would be to invest in A. revenue bonds issued by a sprawling suburban city. B. treasury bonds that ultimately depend on funding from households. C. mortgage pass-through bonds issued by a federal government agency. D. stocks issued by banks that make mortgage loans. 11. One strategy for diversifying government-issued bonds and earning tax-exempt interest is to invest in A. U.S. Treasury bonds, notes, and bills with diverse maturities. B. a state-specific municipal bond fund. C. a combination of state and local bonds plus bonds issued by foreign governments. D. money market mutual funds and U.S. Treasury bills. 12. What is the key distinction between Series EE bonds and Treasury bills? A. Series EE bonds pay interest every six months. B. Series EE bonds aren’t backed by the full faith and credit of the federal government. C. Treasury bills are deeply discounted bonds with all interest paid upon maturity. D. Treasury bills can be traded in the secondary market. 13. Why do bond issuers attach a call feature to their bonds? A. Increases the marketability of the bond B. Increases the likelihood of issuing bonds at face value or higher C. Presents an opportunity to capitalize on rising interest rates D. Frees the organization from high-interest debt if interest rates drop 14. If you were CEO and decided to finance retirement of a bond issue, you would be most likely to A. issue collateral serial bonds, the proceeds of which would fund the bond retirement. B. rewrite the debenture to include an option to exchange bonds for shares of stock. C. set up a payment arrangement with a trustee to fund an account designated for bond retirement. D. sell production assets and apply the proceeds to bond retirement. 15. If you owned bonds issued by a corporation that announced expectations for a protracted period of cash flow difficulties, what kind of risk would concern you most? A. Default risk B. Interest rate risk C. Reinvestment rate risk D. Price fluctuation 16. When an investor purchases a 12-month T-bill with the intention of selling it after a period of time, he’s A. riding the yield curve and selling on a secondary market. B. minimizing his return on a short-term investment. C. ensuring that the sale is at maximum discount. D. maximizing his return on a long-term investment. 17. Which of the following measures would increase the duration of a bond issue? A. Exercising a call option B. Offering bondholders early retirement of bonds C. Prepaying interest D. Exercising an extendible option 18. If a bond issuer failed to honor terms of the indenture prohibiting the corporation from merging with another corporation, A. the bond issue would be considered a fallen angel. B. the bond issue would be considered in default. C. the corporation would be obliged to exercise an extendible option. D. bondholders could exchange their bonds for stock of the issuing corporation. 19. Periods of a negatively sloped yield curve have also been times of A. rising interest rates and inflation. B. a bull market in stocks. C. rapid economic growth that reduced the cost of long-term debt. D. low commodity prices. 20. The impact of inflation as it relates to a bonding arrangement is most devastating to A. borrowers. B. lenders. C. corporations and governments. D. trustees. EXCEL 2007: Multiple Regression A. Colin Cameron, Dept. of Economics, Univ. of Calif. - Davis This January 2009 help sheet gives information on Multiple regression using the Data Analysis Add-in. Interpreting the regression statistic. Interpreting the ANOVA table (often this is skipped). Interpreting the regression coefficients table. Confidence intervals for the slope parameters. Testing for statistical significance of coefficients Testing hypothesis on a slope parameter. Testing overall significance of the regressors. Predicting y given values of regressors. Excel limitations. There is little extra to know beyond regression with one explanatory variable. The main addition is the F-test for overall fit. MULTIPLE REGRESSION USING THE DATA ANALYSIS ADD-IN We then create a new variable in cells C2:C6, cubed household size as a regressor. Then in cell C1 give the the heading CUBED HH SIZE. (It turns out that for the se data squared HH SIZE has a coefficient of exactly 0.0 the cube is used). The spreadsheet cells A1:C6 should look like: We have regression with an intercept and the regressors HH SIZE and CUBED HH SIZE The population regression model is: y = β 1 + β 2 x 2 + β 3 x 3 + u It is assumed that the error u is independent with constant variance (homoskedastic) - see EXCEL LIMITATIONS at the bottom. We do this using the Data analysis Add-in and Regression. The only change over one-variable regression is to include more than one column in the Input X Range. Note, however, that the regressors need to be in contiguous columns (here columns B and C). If this is not the case in the original data, then columns need to be copied to get the regressors in contiguous columns. Hitting OK we obtain The regression output has three components: Regression statistics table ANOVA table Regression coefficients table. INTERPRET REGRESSION STATISTICS TABLE This is the following output. Of greatest interest is R Square. The ANOVA (analysis of variance) table splits the sum of squares into its components. Total sums of squares = Residual (or error) sum of squares + Regression (or explained) sum of squares. For example: R 2 = 1 - Residual SS / Total SS (general formula for R 2 ) = 1 - 0.3950 / 1.6050 (from data in the ANOVA table) = 0.8025 (which equals R 2 given in the regression Statistics table). The column labeled F gives the overall F-test of H0: β 2 = 0 and β 3 = 0 versus Ha: at least one of β 2 and β 3 does not equal zero. Aside: Excel computes F this as: F = [Regression SS/(k-1)] / [Residual SS/(n-k)] = [1.6050/2] / [.39498/2] = 4.0635. The column labeled significance F has the associated P-value. Since 0.1975 > 0.05, we do not reject H0 at signficance level 0.05. Note: Significance F in general = FINV(F, k-1, n-k) where k is the number of regressors including hte intercept. Here FINV(4.0635,2,2) = 0.1975. INTERPRET REGRESSION COEFFICIENTS TABLE The regression output of most interest is the following table of coefficients and associated output: Let β j denote the population coefficient of the jth regressor (intercept, HH SIZE and CUBED HH SIZE). Column " Coefficient " gives the least squares estimates of β j . Column " Standard error " gives the standard errors (i.e.the estimated standard deviation) of the least squares estimates b j of β j . Column " t Stat " gives the computed t-statistic for H0: β j = 0 against Ha: β j ≠ 0. This is the coefficient divided by the standard error. It is compared to a t with (n-k) degrees of freedom where here n = 5 and k = 3. Column " P-value " gives the p-value for test of H0: β j = 0 against Ha: β j ≠ 0.. This equals the Pr where t is a t-distributed random variable with n-k degrees of freedom and t-Stat is the computed value of the t-statistic given in the previous column. Note that this p-value is for a two-sided test. For a one-sided test divide this p-value by 2 (also checking the sign of the t-Stat). Columns "Lower 95%" and "Upper 95%" values define a 95% confidence interval for β j . A simple summary of the above output is that the fitted line is y = 0.8966 + 0.3365*x + 0.0021*z CO NFIDENCE INTERVALS FOR SLOPE COEFFICIENTS 95% confidence interval for slope coefficient β 2 is from Excel output (-1.4823, 2.1552). Excel computes this as b 2 ± t_.025(3) × se(b 2 ) = 0.33647 ± TINV(0.05, 2) × 0.42270 = 0.33647 ± 4.303 × 0.42270 = 0.33647 ± 1.8189 = (-1.4823, 2.1552). Other confidence intervals can be obtained. For example, to find 99% confidence intervals: in the Regression dialog box (in the Data Analysis Add-in), check the Confidence Level box and set the level to 99%. TEST HYPOTHESIS OF ZERO SLOPE COEFFICIENT ("TEST OF STATISTICAL SIGNIFICANCE") The coefficient of HH SIZE has estimated standard error of 0.4227, t-statistic of 0.7960 and p-value of 0.5095. It is therefore statistically insignificant at significance level α = .05 as p > 0.05. The coefficient of CUBED HH SIZE has estimated standard error of 0.0131, t-statistic of 0.1594 and p-value of 0.8880. It is therefore statistically insignificant at significance level α = .05 as p > 0.05. There are 5 observations and 3 regressors (intercept and x) so we use t(5-3)=t(2). For example, for HH SIZE p = =TDIST(0.796,2,2) = 0.5095. TEST HYPOTHESIS ON A REGRESSION PARAMETER Here we test whether HH SIZE has coefficient β 2 = 1.0. Example: H0: β 2 = 1.0 against Ha: β 2 ≠ 1.0 at significance level α = .05. Using the p-value approach p-value = TDIST(1.569, 2, 2) = 0.257. [Here n=5 and k=3 so n-k=2]. Do not reject the null hypothesis at level .05 since the p-value is > 0.05. Using the critical value approach We computed t = -1.569 The critical value is t_.025(2) = TINV(0.05,2) = 4.303. [Here n=5 and k=3 so n-k=2]. So do not reject null hypothesis at level .05 since t = |-1.569| < 4.303. OVERALL TEST OF SIGNIFICANCE OF THE REGRESSION PARAMETERS We test H0: β 2 = 0 and β 3 = 0 versus Ha: at least one of β 2 and β 3 does not equal zero. From the ANOVA table the F-test statistic is 4.0635 with p-value of 0.1975. Since the p-value is not less than 0.05 we do not reject the null hypothesis that the regression parameters are zero at significance level 0.05. Conclude that the parameters are jointly statistically insignificant at significance level 0.05. Note: Significance F in general = FINV(F, k-1, n-k) where k is the number of regressors including hte intercept. Here FINV(4.0635,2,2) = 0.1975. PREDICTED VALUE OF Y GIVEN REGRESSORS Consider case where x = 4 in which case CUBED HH SIZE = x^3 = 4^3 = 64. Excel restricts the number of regressors (only up to 16 regressors. ). Excel requires that all the regressor variables be in adjoining columns. You may need to move columns to ensure this. p.ej. If the regressors are in columns B and D you need to copy at least one of columns B and D so that they are adjacent to each other. Excel standard errors and t-statistics and p-values are based on the assumption that the error is independent with constant variance (homoskedastic). Excel does not provide alternaties, such asheteroskedastic-robust or autocorrelation-robust standard errors and t-statistics and p-values. More specialized software such as STATA, EVIEWS, SAS, LIMDEP, PC-TSP. is needed. What is Linear Regression? Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship between one dependent variable and one or more independent variables. At the center of the regression analysis is the task of fitting a single line through a scatter plot. The simplest form with one dependent and one independent variable is defined by the formula y = c + b*x, where y = estimated dependent, c = constant, b = regression coefficients, and x = independent variable. Sometimes the dependent variable is also called a criterion variable, endogenous variable, prognostic variable, or regressand. The independent variables are also called exogenous variables, predictor variables or regressors. However linear regression analysis consists of more than just fitting a linear line through a cloud of data points. It consists of 3 stages – (1) analyzing the correlation and directionality of the data, (2) estimating the model, i.e. fitting the line, and (3) evaluating the validity and usefulness of the model. There are 3 major uses for regression analysis – (1) causal analysis, (2) forecasting an effect, (3) trend forecasting. Other than correlation analysis. which focuses on the strength of the relationship between two or more variables, regression analysis assumes a dependence or causal relationship between one or more independent and one dependent variable. Firstly, it might be used to identify the strength of the effect that the independent variable(s) have on a dependent variable. Typical questions are what is the strength of relationship between dose and effect, sales and marketing spend, age and income. Secondly, it can be used to forecast effects or impacts of changes. That is regression analysis helps us to understand how much will the dependent variable change, when we change one or more independent variables. Typical questions are how much additional Y do I get for one additional unit X. Thirdly, regression analysis predicts trends and future values. The regression analysis can be used to get point estimates. Typical questions are what will the price for gold be in 6 month from now? What is the total effort for a task X? There are several linear regression analyses available to the researcher. • Simple linear regression 1 dependent variable (interval or ratio), 1 independent variable (interval or ratio or dichotomous) • Multiple linear regression 1 dependent variable (interval or ratio). 2+ independent variables (interval or ratio or dichotomous) • Logistic regression 1 dependent variable (binary), 2+ independent variable(s) (interval or ratio or dichotomous) • Ordinal regression 1 dependent variable (ordinal), 1+ independent variable(s) (nominal or dichotomous) • Multinominal regression 1 dependent variable (nominal), 1+ independent variable(s) (interval or ratio or dichotomous) • Discriminant analysis 1 dependent variable (nominal), 1+ independent variable(s) (interval or ratio) When selecting the model for the analysis another important consideration is the model fitting. Adding independent variables to a linear regression model will always increase the explained variance of the model (typically expressed as R²). However adding more and more variables to the model makes it inefficient and over fitting occurs. Occam's razor describes the problem extremely well – a model should be as simple as possible but not simpler. Statistically if the model includes a large number of variables the probability increases that the variables test statistically significant out of random effects. The second concern of regression analysis is under fitting. This means that the regression analysis' estimates are biased. Under fitting occurs when including an additional independent variable in the model will reduce the effect strength of the independent variable(s). Mostly under fitting happens when linear regression is used to prove a cause-effect relationship that is not there. This might be due to researcher's empirical pragmatism or the lack of a sound theoretical basis for the model. Statistics Solutions can assist with your quantitative analysis by assisting with the development of your methodology and results chapters. For more information on how we can assist, please click here . To Reference this Page: Statistics Solutions. (2013). What is Linear Regression [WWW Document]. Retrieved from here. FREE Student Resources Personal Investors General Privacy Policy* T. Rowe Price recognizes the importance of protecting your personal and financial information when you visit our Website. In the course of doing business with T. Rowe Price, you share personal and financial information with us. We treat this information as confidential and recognize the importance of protecting access to it. You may provide information when communicating or transacting with us in writing, electronically, or by phone. 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We will send you a copy of the Brokerage Customer Account Agreement if you call 1-800-225-7720 If you have any questions regarding your rights and obligations, please contact T. Rowe Price prior to using the Service. How T. Rowe Price Protects Your Information At T. Rowe Price, safeguarding your online security and privacy is a high priority. We use strict controls to ensure that your online communications and transactions are as safe and reliable as any business channel. T. Rowe Price will not request personal information via e-mail, text message, or phone call. You should only provide account information via T. Rowe Price's secure website, when calling T. Rowe Price, or by U.S. mail/express delivery. To protect your information we employ: In our continuing effort to implement effective security measures to protect shareholders opening new online accounts, T. Rowe Price uses ”True Identity.” This helps confirm that new online accounts are established by the true customer and not by an identity thief. This not only helps make our shareholders safer, it also helps make verification faster and more secure. Notifications and Confirmations For online transactions, a confirmation statement is mailed promptly after the transaction date. You can choose to receive confirmations via email and or/text message instead of by mail, click here to learn more. Make sure you review your account activity periodically. For security purposes, you will be asked to provide personal information for identity verification when you call us. When a customer requests a change of address, we send a confirmation letter to both the old address and the new address. T. Rowe Price has added a feature to the login process to help protect your account information. We use a unique image and phrase to notify you that you are logging in to a valid T. Rowe Price website. For more information on how our enhanced security features work, click here. T. Rowe Price offers 2-Factor Authentication, which is the use of your existing password plus an Access Code, to provide greater security during the login process. This service is not available for investors who only have a workplace retirement account managed by T. Rowe Price. Access Codes are obtained for Personal Investors via: Text Message Digital Token (for investors with a Brokerage account) Online Transaction Limits T. Rowe Price has placed the following limits on individual mutual fund transactions: When making a purchase using a bank that has not yet been verified the maximum purchase limit will be $100,000. After the bank has been verified the maximum purchase limit is $250,000. Redemptions via ACH or Wire cannot exceed $50,000 per transaction, and $100,000 per account per day. Exchanges cannot exceed $500,000 per account per day. An account is defined as an investment in a single fund. For Brokerage Advantage accounts, these criteria do not apply; however, sufficient funds or shares must be held in the Brokerage account and/or the accompanying money market sweep account prior to the submission of an online order. Online redemptions are not permitted from Education IRA accounts. Transaction Cancellations If an online transaction is entered in error, you may cancel the pending transaction either online or over the phone. Requests to cancel pending transactions must be received prior to the close of the market for that business day (normally 4 p.m. ET). Earlier notification may be required for mutual fund transactions placed in a Brokerage account. Trade cancellation requests can be made by calling T. Rowe Price. For Workplace Retirement/401(k) plans, call 1-800-922-9945 . Please be ready to enter your Social Security number and Plan Account Line PIN to ensure proper call routing. For T. Rowe Price Mutual fund orders, call a Shareholder Services representative at 1-800-541-8803 . For Brokerage Advantage customers who placed a T. Rowe Price fund order, and for all non-T. Rowe Price Fund orders, call a Brokerage representative at 1-800-225-7720 . For security purposes, you will be asked to provide personal information for identity verification. T. Rowe Price uses Secure Sockets Layer/Transport Layer Security (SSL/TLS) technology to establish an encrypted connection between your browser and our Web applications. SSL/TLS websites start with “https://” instead of “http://” and signify that you are in a secure online session with us. To ensure your protection, we require 128-bit encryption (the current industry standard) and a modern version of the SSL/TLS protocol - these are supported by current versions of all modern browsers. Additionally, T. Rowe Price offers the additional protection offered by Extended Validation (EV) certificates, which are designed to display the browser address bar in a green color and display the true company name (T. Rowe Price) when you are accessing trusted websites such as ours. System activity is logged in order to preserve all the information necessary to validate the transmission of data. Our policies provide for the use of authorizations, rights, and privileges to help ensure that authorized personnel and systems have access to account data. T. Rowe Price’s network is protected by various security infrastructures, including industry-standard firewall technology and intrusion-prevention systems. Termination of Online Account Access T. Rowe Price reserves the right to terminate online account access for any account that exhibits suspicious activity. In such a situation, you will be notified so that we can verify the activity of your online account with you. User Name Requirements You may choose any user name between six and 12 characters long. If the user name you select is already in use, you will be prompted to select a different one. Please do not use the following characters in your user name: spaces, " % &' + ; =. ^ ` ). User names are not case sensitive. Your online access password must meet the following security criteria: Must be between six and 10 characters long. Have at least two letters and two special characters or numbers. Cannot be the same as your user name. Cannot include the following characters: space “ % & ‘ ; = ^,<>. Cannot have more than three repetitive characters in succession. (For example QRb111 is acceptable, QRb1111 is not.) Learn more about creating strong passwords by visiting OnGuard Online. a service of the U.S. Federal Trade Commission and other federal agencies. If you forget your password, answering the security questions you select will allow you to reset your password online. The security questions are designed to be personal to you. Your answers must be between four and 20 characters long, including spaces, and are case-sensitive. The answers should also be easy for you to remember but hard for others to guess. Protecting Your Personal Information and Preventing Identity Theft T. Rowe Price will not ask for personal information via e-mail, text message or phone call. Be cautious of any unsolicited message you receive that asks for personal information. Do not respond to or open attachments, or click on links within an e-mail or text message if you suspect the message is fraudulent. What Is Social Engineering? Social engineering is a term for manipulating or deceiving people into providing confidential information or performing an action that compromises their security. Social engineers are con artists. Phishing is a common form of social engineering that uses fraudulent messages to trick customers into unsafe electronic activity. The most common forms of phishing are e-mails, text messages, and pop-up messages. The motive is to trick you into clicking on a link or opening attachments that infect your computer with malware or into providing personal or confidential information such as your user ID and password. Avoid being a victim of a social engineer or scam artist by being an educated and aware online consumer. Learn more by visiting OnGuard Online. a service of the U.S. Federal Trade Commission and other federal agencies. OnGuard Online provides information about avoiding scams, understanding mobile apps and Wi-Fi networks, securing your home computer, and protecting family members. If you are a victim of an Internet crime, report it to IC3. a service of the U.S. Federal Bureau of Investigation and the National White Collar Crime Center. You should also report attempted identity theft to the local authorities as well as to the Federal Trade Commission's Complaint Assistant Application. Other Ways to Protect Your Security Malicious code, such as viruses, worms, key loggers, and Trojan horses, can infect your personal computer and allow attackers to gain access to personal information. There are many ways to protect your information online and when using a computer. Use these tips to secure your personal computer and network: Apply security updates regularly to ensure that your computer's operating system is up to date. Depending on your operating system, use the following links for more information regarding security updates. www.microsoft.com/security/ www.info.apple.com Be sure you have the latest version of your browser Update your computer's anti-virus software on a regular basis. Schedule automatic security scans or perform them regularly. As another means of checking for fraudulently opened accounts in your name (especially credit accounts), periodically order a copy of your credit report from the three major credit reporting bureaus: Equifax: 800-685-1111 / www.equifax.com Experian: 888-397-3742 / www.experian.com TransUnion: 800-916-8800 / www.transunion.com Under federal law, you are entitled to one free credit report each year from these companies. Report any unauthorized accounts to the applicable credit bureau and to the financial service company holding the fraudulent account. Talk to the credit bureaus about other tools they offer to help stop further fraudulent accounts from being opened. Important Legal Information The contents of the T. Rowe Price sites on the Internet are protected by applicable copyright laws. No permission is granted to copy, distribute, modify, post or frame any text, graphics, video, audio, software code, or user interface design or logos, or take any other action inconsistent with T. Rowe Price's copyrights. ALL INFORMATION AND CONTENT ON THE T. ROWE PRICE WEBSITES ARE SUBJECT TO APPLICABLE STATUTES AND REGULATIONS, FURNISHED "AS IS," WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR NON-INFRINGEMENT. Important Mutual Fund Information Request a prospectus, or a summary prospectus; each includes investment objectives, risks, fees, expenses, and other information that you should read and consider carefully before investing. An investment in a money market fund is not insured or guaranteed by the FDIC or any other government agency. Although a money market fund seeks to preserve the value of your investment at $1.00 per share, it is possible to lose money by investing in the fund. To Request a Prospectus: For Retail Investors: For a prospectus or summary prospectus, which include investment objectives, risks, fees, expenses, and other information that you should read and consider carefully before investing, please go to troweprice.com/prospectus or call 1-800-541-8803. For Workplace Retirement / 401(k) participants: For a prospectus, summary prospectus or trust fact sheet, which include investment objectives, risks, fees, expenses, and other information that you should read and consider carefully before investing, please go to rps.troweprice.com/investmentdocuments or call 1-800-922-9945. Information for Foreign Investors Each of the investment products (including the T. Rowe Price mutual funds) or services referred to in the T. Rowe Price website may be offered only to persons in the United States. This website should not be considered a solicitation or offering of any investment products or services to investors residing outside the United States. Persons outside of the United States may contact us for more information about the products and services available to them. Intuit and Quicken TurboTax Quicken TurboTax for the Web is a service mark and Quicken and TurboTax are registered trademarks of Intuit Inc. and are used with permission. Tax-related information is provided by Intuit Inc. Intuit Inc. is not affiliated with T. Rowe Price and is solely responsible for this information and content. T. Rowe Price does not guarantee that any information or content supplied by Intuit or Quicken TurboTax is accurate, complete, or timely, and T. Rowe Price does not make any warranties with regard to the results obtained by its use. T. Rowe Price disclaims any liability arising out of your use (or the results obtained from, or interpretations made as a result of, your use) of any Intuit software products or any information or content furnished by Intuit or Quicken TurboTax. 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Rowe Price entities, including T. Rowe Price Investment Services, Inc. are separate entities. While the Savings Bank's CD Accounts are FDIC insured, all other products offered by T. Rowe Price affiliates are not FDIC insured and are not a deposit of or guaranteed by the Savings Bank. Such products are subject to investment risk, including possible loss of the principal amount invested. CD Accounts are offered only to persons residing in the United States. Effective Date and Additional Changes The effective date of this Mobile Site Agreement is September 21, 2010. From time to time, we may change the Mobile Site Agreement. When it is revised or materially changed, we will update the effective date. You can determine whether there have been any changes since the last time you reviewed them by simply checking the effective date. Intimidad T. Rowe Price recognizes the importance of protecting your personal and financial information. Below, please find more information about how T. Rowe Price protects your privacy and about information we collect from use of the site. This document is comprised of the following primary sections: Privacy Information for Retail Investors Privacy Information for Workplace Retirement Participants Cookies and Other Web Technologies Effective Date and Additional Changes You should also consult the "Terms of Use" link (found at the bottom of each page) for important information about this site concerning the terms of use, security measures, and other legal information. Privacy Information For Retail Investors General Privacy Policy* T. Rowe Price recognizes the importance of protecting your personal and financial information when you visit our website. In the course of doing business with T. Rowe Price, you share personal and financial information with us. We treat this information as confidential and recognize the importance of protecting access to it. You may provide information when communicating or transacting with us in writing, electronically, or by phone. For instance, information may come from applications, requests for forms or literature, and your transactions and account positions with us. On occasion, such information may come from consumer reporting agencies and those providing services to us. We do not sell information about current or former customers to any third parties, and we do not disclose it to third parties unless necessary to process a transaction, service an account, or as otherwise permitted by law. We may share information within the T. Rowe Price family of companies in the course of providing or offering products and services to best meet your investing needs. We may also share that information with companies that perform administrative or marketing services for T. Rowe Price, with a research firm we have hired, or with a business partner, such as a bank or insurance company, with whom we are developing or offering investment products. When we enter into such a relationship, our contracts restrict the companies' use of our customer information, prohibiting them from sharing or using it for any purposes other than those for which they were hired. We maintain physical, electronic, and procedural safeguards to protect your personal information. Within T. Rowe Price, access to such information is limited to those who need it to perform their jobs, such as servicing your accounts, resolving problems, or informing you of new products or services. Our Code of Ethics, which applies to all employees, restricts the use of customer information and requires that it be held in strict confidence. *The General Privacy Policy applies to the following T. Rowe Price family of companies: T. Rowe Price Associates, Inc.; T. Rowe Price Advisory Services, Inc.; T. Rowe Price Investment Services, Inc.; T. Rowe Price Trust Company; and the T. Rowe Price Funds. Online Privacy Practices Below, please find an explanation of our policies and practices concerning information gathered during online sessions. These practices are consistent with and remain subject to our General Privacy Policy. Topics covered include: Why We Collect Information: How T. Rowe Price Works To Secure Your Information: What Information T. Rowe Price Collects And How We Use It: How T. Rowe Price Uses Your E-Mail Address: What Information T. Rowe Price May Share With Third Parties: Links to Other Sites: Effective Date and Additional Changes: Why We Collect Information: Our website utilizes a variety of technologies to collect, store, and aggregate data about usage. These technologies help us analyze and tailor the site for all users and better understand: How our site is used Which features or pages are most popular Browsing and usage patterns. For more information, see the section labeled Information About How We Use Cookies and Other Technologies How T. Rowe Price Works To Secure Your Information: T. Rowe Price protects your personal information when you transact business on our website by requiring the use of a browser software program that supports 128-bit encryption. The "128-bit" designation refers to the length of the key used to encrypt the data being transmitted, with a longer key representing a higher level of security. For more information on the security of your account data with T. Rowe Price, see the Security Measures section of this page. That Information T. Rowe Price Collects and How we Use It: Registered Website Users If you are a registered user of our website and have online access for your account(s), we have the ability to collect all information that is submitted through use of your user ID during an online session, such as any requested transactions, and link it to you. We also have the ability to recognize your computer each time it is used to visit our site and to link activity to you, even if you do not log in to conduct a transaction or check your balances. This means your general usage patterns and other information noted throughout these Online Privacy Practices may be linked to you. This information can be useful to us when assessing and offering tools and other features to you and can also be used as otherwise described in our General Privacy Policy. Non-Registered Website Users If you are not a registered user and do not give us any identifying information about yourself (for example, your name, address, or email address), we would track your general usage patterns (such as pages visited and time spent on our site) as we do for all website users. However, we would not be able to link this information as specifically belonging to you. If you do give us identifying information about yourself (for example, by requesting that literature be sent to you or if you supply an email address), we would collect that information and use it to fulfill your request and as otherwise described in our General Privacy Policy. This information would also be stored and may be linked with your other activity on our site Some of our calculators, analyzers, and other tools ("tools") allow you to save your inputs for your future use. Otherwise, your inputs are not preserved for your usage beyond the end of your online session. Whether some or all of your inputs are collected by us can vary by tool, and if your inputs are collected, they may be used and potentially associated with you personally as noted on this page. How T. Rowe Price Uses your E-mail Address: If you have supplied your e-mail address to T. Rowe Price, we may occasionally send you e-mail communications. These may deal with our products or services, invite you to participate in research, alert you on a specific issue, or follow-up to a request you've made. T. Rowe Price also offers subscription-based e-mail services on a variety of topics, such as market reports, investment information, daily closing fund prices, and the latest updates from T. Rowe Price. We always include instructions and links to decline future emails, and to unsubscribe from T. Rowe Price subscription-based e-mail services. T. Rowe Price does not sell e-mail addresses to anyone, although we may disclose e-mail addresses to third parties that perform administrative or marketing services for us as described in the General Privacy Policy. We may track receipt of e-mails to gauge the effectiveness of our communications. What Information T. Rowe Price May Share with Third Parties: T. Rowe Price does not share personal information about our customers for use in third party marketing products and services, nor do we sell any personal information. The General Privacy Policy describes our policies on when we may share information with third parties. Here are some examples of online sharing we may do with trusted third party partners: Occasionally, we conduct voluntary surveys regarding our website or other products or services. The information you provide is used collectively for analytical purposes. You will not receive unsolicited communications as a result of your participation in a survey if you notify us not to contact you. We may use third parties to serve (i.e. place) advertisements for us on other websites, including banner advertisements. The third parties may collect anonymous information through the use of cookies and action tags (referred to as Web beacons and GIF tags). For more information, see the section of this page labeled "Information About How We Use Cookies and Other Technologies" Links to Other Sites On our website, we may provide links to third parties that provide financial and other information that may be of interest to you. Once you've clicked a link and have left our website, our General Privacy Policy and Online Privacy Practices no longer apply. You must read the privacy policy of the third party to see how your personal information will be handled on their site. Privacy Information for Workplace Retirement Plan Participants** T. Rowe Price recognizes the importance of protecting your personal and financial information. In connection with our serving as recordkeeper and/or directed trustee for your retirement plan, you provide us with your personal and financial information and the company that sponsors your retirement plan (the "plan sponsor") also provides us with personal and financial information about you, such as your name, address, Social Security number, and contribution amounts. We treat information about you, including information concerning your beneficiaries, as confidential and recognize the importance of protecting access to it. You or the plan sponsor may provide information when communicating or transacting with us in writing, electronically, or by phone. For instance, information may be provided to us directly by the plan sponsor or it may come from your activity such as applications, requests for forms or literature, and your transactions and account positions within the retirement plan. On occasion, such information may come from those providing services to us. We regularly exchange information with the plan sponsor about the plan and its participants in the course of servicing the retirement plan. We do not sell information about current or former plans or plan participants to any third parties, and we do not disclose it to third parties unless necessary to process a transaction, or service an account, as requested by the plan sponsor, or as otherwise permitted by law. We may share such information within the T. Rowe Price family of companies as part of our servicing of retirement plans and participants or when permitted to do so by the plan sponsor or by law. We may also share such information with companies that perform administrative services for the plan sponsor or T. Rowe Price or with a research firm that the plan sponsor or we have hired. When we enter into such a relationship, our contracts restrict such companies' or firms' use of such information, prohibiting them from sharing or using it for any purposes other than those for which they were hired. We maintain physical, electronic, and procedural safeguards to protect your personal and financial information. Within T. Rowe Price, access to such information is limited to those who need it to perform their jobs, such as servicing your accounts, resolving problems, or informing you of new products or services. Our Code of Ethics, which applies to all employees within the T. Rowe Price family of companies, restricts the use of plan and participant information and requires that it be held in strict confidence. **This T. Rowe Price Privacy Policy Concerning Services for Retirement Plans and Plan Participants is provided by T. Rowe Price Retirement Plan Services, Inc. T. Rowe Price Services, Inc. and T. Rowe Price Trust Company. These companies, which are part of the broader T. Rowe Price family of companies, provide various services for retirement plans and their participants. Cookies and Other Web Technologies Information About How We Use Cookies and Other Technologies: Our website utilizes a variety of technologies to collect, store, and aggregate data about usage. We may use electronic tags called "cookies" or other technology to help us understand and analyze use of our site as described in our Online Privacy Practices. This work is either performed directly by us or by a third party we've hired to assist us. We collect information on what pages have been accessed and for how long, the country you are accessing the site from, and certain technical information regarding your computer and operating systems, such as your Internet protocol address, domain name and browser, etc. Cookies can also help in remembering certain user attributes. Certain sections of our site require cookies to be enabled to enhance website performance. For example, they provide a secure way for us to verify your identity during your online session, they enable us to personalize your experience on our site, and they help enhance site navigation. Cookies also help us to understand how people use our site so that we can improve site functionality. When you come to our website, our Web server sends a cookie to your computer. Standing alone, cookies do not identify you personally; they merely recognize your browser. For more information and circumstances under which personally identifiable information may be collected and used, please refer back to the Online Privacy Practices. We use two types of cookies on our website, temporary cookies and persistent cookies. Temporary cookies are used to store information during a browser session and will expire automatically when you close your browser. Persistent cookies are used to store information between visits to our website and are stored permanently or for a specified length of time. You can choose to have your computer warn you each time a cookie is being sent, or you can choose to turn off all cookies. You do this through your browser (e.g. Safari or Internet Explorer) settings. Each browser is different, so review your browser's Help menu to learn the correct way to modify your cookies. If you disable cookies, you will not have access to many features that make your visit to the T. Rowe Price website fully functional. While you may disable the usage of cookies through your browser settings, we do not change our practices in response to a "Do Not Track" signal in the HTTP header from your browser. A clear GIF, also known as a Web beacon, is another technology used and functions similar to a cookie. A Web beacon is a tiny invisible graphic that contains a unique identifier; it is very small, about the size of the period at the end of a sentence. Web beacons are primarily used in the following ways: 1) to track online Web movements of our users and inform us what content and/or ads are effective, and 2) to track receipt of e-mails to gauge the effectiveness of our communications. Information About How Cookies and Other Technologies Are Used With Advertisements: We may use third parties to serve (i.e. place) advertisements for us on other websites, including banner advertisements. The third parties may collect anonymous information through the use of cookies and action tags (referred to as Web Beacons and GIF tags). The third parties do not collect identifiable information like name, address, phone number, or e-mail address, but instead collect, store, and use information relating to the effectiveness of online advertising such as the advertisement clicked on, pages visited, and the time spent on our website. To assist us in measuring the effectiveness of our online advertising, the third parties may supply the anonymous information directly to us or they may use it to produce statistics and reports for us. The third parties may also use the information to service advertisements in the future. Cookies placed by third parties are subject to their respective privacy policies. For information about opting out of third-party cookies, you may visit the Network Advertising Initiative Website. Effective Date and Additional Changes The effective date of this document is June 27, 2014. From time to time, we may change the document. When it is revised or materially changed, we will update the effective date. You can determine whether there have been any changes since the last time you reviewed them by simply checking the effective date. Learn how to program drawings, animations, and games using JavaScript & ProcessingJS, or learn how to create webpages with HTML & CSS. You can share whatever you create, explore what others have created and learn from each other! Learn select topics from computer science - algorithms (how we solve common problems in computer science and measure the efficiency of our solutions), cryptography (how we protect secret information), and information theory (how we encode and compress information). Only have an hour? Learn the basics of programming, making webpages, or creating databases. Official SAT Practice Current SAT (through January 2016) Download a real, full-length SAT practice test, watch Sal work through real SAT problems, and get even more practice using our interactive exercises. New SAT (starting March 2016) Practice all of the skills you’ll need for the new SAT. We also have four official practice exams from College Board. The October 2015 PSAT is in the style of the new SAT. Mean absolute deviation (MAD) Featured Properties Currently for Rent Missoula Property Management is a full service property management company in Missoula, Montana whose goals are to obtain optimal results for our clients. Missoula Property Management strives for honesty, accuracy and timeliness in all aspects of our business. Our company excels in our industry by providing our property owners and residents both exceptional communications and customer service. We focus on building trust and a creating a strong rapport with each of our clients and residents, to retain tenants and satisfy our property owners. For Tenants For Owners Contáctenos Rates are based on a credit score of 740. Rates were collected by Bankrate.com on the dates specified. Rates are subject to change without notice and may vary from branch to branch. APR and Payment examples shown do not include amounts for taxes and insurance premiums. The monthly payment obligation will be greater if taxes and insurance are included. These quotes are from banks, thrifts, and brokers, some of whom have paid for a link to their own Web site, where you can find additional information. Many lenders have different rates on their own Websites than those posted on Bankrate.com. Please identify yourself as a Bankrate consumer to lenders to ensure you get the Bankrate.com rate. If you believe that you have received an inaccurate quote or are otherwise not satisfied with the services provided to you by the lender you choose, please click here. ©1995-2015 National Association of Realtors® and Move, Inc. All rights reserved. Important Note Regarding Home-Affordability Calculator And Results Home-purchase affordability depends on various factors and is not guaranteed. Results shown are estimates and are based on the accuracy and continued reliability of the data you input. Additionally, various other factors may affect affordability. Such factors may include credit score, the particular mortgage you choose, lender guidelines, other savings needs you might have (e.g. retirement, college), changes in market conditions, changes in your own circumstances, and more. Some results may be rounded. See exactly what your mortgage and fees would cost each month. Home Improvements & Renovations Get an insider's look at this home with a local real estate pro. Home project history, complete with photos Neighborhood projects and their costs Property comparison to nearby homes ©1995-2015 National Association of Realtors® and Move, Inc. All rights reserved. truck rental mobile al truck rental mobile al Moving truck rental at U-Haul Moving & Storage at Beltline in Mobile, AL 36608. Rent a moving truck, cargo van or pickup truck in Mobile, AL today.Book your car rental at U-Save offering airport location discount and cheap car rental rates.Ryder is the industry leader in truck rental, fleet and supply chain management solutions for businesses worldwide. See why you should ride with Ryder now!Registration on or use of this site constitutes acceptance of our User Agreement and Privacy Policy © 2015 Alabama Media Group All rights reserved. The material on Ryder truck rental has over 500 truck rental locations so you can rent a truck pick-up, flatbed or van near you. Browse available trucks now!Get a moving truck or van rental free with any storage rental at Uncle Bob’s Self Storage (where available). Rental and mileage fees waived for moves up to 25 miles.One Way Truck Rental – find One Way Truck Rentals In Your State and Get Online Moving Quotes Right Away! Fill Out The Quick Online Form Today!With more than 100 locations from coast to coast, Rush Truck Centers offer service and sales, repair, financing, insurance, leasing and rental options.Save the cost of hiring movers! Moving vehicle rentals at Uncle Bob’s are priced right & work with your schedule. Plus, FREE truck or van rental when you rent storage!How much a moving truck rental should cost. Average costs and comments from CostHelper’s team of professional journalists and community of users. A 14-foot rental Image Gallery truck rental mobile al Related Posts to truck rental mobile al Moving truck rental at U-Haul Moving & Storage at Beltline in Mobile, AL 36608. Rent a moving truck, cargo van or pickup truck in Mobile, AL today. Book your car rental at U-Save offering airport location discount and cheap car rental rates. Ryder is the industry leader in truck rental, fleet and supply chain management solutions for businesses worldwide. See why you should ride with Ryder now! Registration on or use of this site constitutes acceptance of our User Agreement and Privacy Policy © 2015 Alabama Media Group All rights reserved. The material on … Moving Average I used this software on dos mode, it was good. Now I am going to try it on Windows. Hope it will. Excellent, works also on Windows, Very efficient when you talk with your players It's better than any other software I used. A debe tener el software védico de la astrología para cada uno. It saved my life. A staff officer cannot live without this tool. Please keep on developing Nice program please keep it up and upgrade it for next time. My english is very weak so it is a very helpful app for me as I can see the meaning of the words. I saw many tutorials of pftrack. It is an excellent software I ever seen. One the most wonderful plugins I ever experienced. It is always a pleasure to work with Pixel. It's overall a good product. You can enhance it's tools about 6 raid level. I found this to be a very useful software, recovered all corrupted PST files easily. I highly. Technical Analysis - The Moving Average The Moving Average shows the average value of a security's price over a period of time. To find the 50-day MA,В you would add up the closing prices (but not always - we'll explain later) from the past 50 days and divide them by 50. Because prices are constantly changing, the moving average will move as well. The most commonly used moving averages are of 20, 30, 50, 100 and 200 days. Each moving average provides a different interpretation on how the stock will perform – The longer the time span, the less sensitive the moving average will be to daily price changes. Moving averages are used to emphasize the direction of a trend and smooth out price and volume fluctuations. Here is a visual example using the stock price of AT&T: Notice that back in September the stock price dropped well below its 50-day average (the green line). There has been a steady downward trend since then and no really strong divergence until the end of December when it rose above its 50-day average and continued to rise for several weeks. Friday March 18, 2016 Forecaster: James Spann TODAY: More rain is possible at times, but a decent part of the day should be dry with intervals of sunshine. The high will be close to 70 degrees for most communities. The most widespread rain will remain over the southern quarter of Alabama, where a few strong thunderstorms are also possible. Rain becomes more widespread statewide tonight ahead of a cold front. THE ALABAMA WEEKEND: Rain will end from northwest to southeast during the day tomorrow; best chance of rain for the north/central part of the state should come before 10:00 a.m. I can't rule out a little light rain or drizzle tomorrow afternoon, however. The day will be cloudy, breezy, and much cooler with a high in the low 60s. many communities north of Birmingham won't make it out of the 50s. A northwest wind of 10-20 mph will make it feel cooler. Sunday will be another breezy and cool day with a mix of sun and clouds. The high will be in only in the 55-58 degree range; well below the average high of 68 for March 20. A few sprinkles are possible over far North Alabama, near the Tennessee border, but most of the state will be dry. FROST/FREEZE POTENTIAL: The low for most places early Sunday will be in the mid 30s, but a few spots over the Tennessee Valley could touch 32 degrees. Frost is not likely Sunday morning due to a gusty north wind of 7-14 early in the day. However, widespread frost is likely Monday with a clear sky and light wind. We project lows in the 28-34 degree range, and growers will need to protect plants and vegetation that might be harmed by freezing temperatures. And, I really don't believe this is the last cold snap; we usually have one more good one in April. NEXT WEEK: The weather will be dry Monday through Wednesday with a warming trend; showers are possible by Thursday. and both the GFS and the ECMWF are hinting at a setup for strong to severe storms by Thursday night and Friday. See the Weather Xtreme video for maps, graphics, and more details. AT THE BEACH: Occasional showers and storms will continue along the Gulf Coast from Gulf Shores over to Panama City Beach through tomorrow, but the weather will be dry Sunday into early next week with sunny days and fair nights. See a very detailed Gulf Coast forecast here. STORM SPOTTER TRAINING: We are offering basic SKYWARN training at several locations across North/Central Alabama in March, followed by the big event, Storm Spotter Xtreme on Saturday, April 9 at the BJCC from 9am to 2pm. This will feature both the basic and advanced SKYWARN classes, along with a session from Kevin Laws of the Birmingham NWS office. And, if you come, you get free admission to the Alabama International Auto Show, going on at the BJCC that same day. There is no cost and no need to register. Just show up with a curious mind. Kids 10 and older will also enjoy this if they love weather and want to learn more. Please help us make the severe weather warning process better! The next session is Tuesday evening at Tuscaloosa at the River Market. Calculating Variance and Standard Deviation in 4 Easy Steps This page is a step-by-step guide to calculating variance and standard deviation. You can easily calculate variance and standard deviation, as well as skewness, kurtosis, percentiles, and other measures, using the Descriptive Statistics Excel Calculator . Definition of variance Variance is a measure of dispersion in a set of data. It measures how big the differences are between individual numbers in a set of numbers. Mathematically it is the average squared difference between each occurrence (each number) and the mean of the whole data set. Variance is the average squared deviation from the mean . Calculation of variance It is easy to decipher the step-by-step calculation of variance from the definition above. Variance is the These are the four steps needed for calculating variance and you have to start from the end of the definition: Step 1: mean Step 2: deviation Step 3: squared Step 4: average Step 1: Calculating the mean Let’s start with the mean. Mean in general is the central value of a data set. The best known and most usual way of calculating mean is the arithmetic average . you sum all the numbers up and then divide the sum by the count of numbers used. For example arithmetic average of the numbers 10, 20, 30, 40, and 50 is 10+20+30+40+50 (which is 150) divided by the count of numbers (which is 5). Arithmetic average of 10, 20, 30, 40, and 50 is 30. Besides arithmetic average there are other methods how to calculate central value and for some types of data they are more suitable (for example geometric mean or harmonic mean). But we’ll use the best known arithmetic average now to keep it simple. That’s all in step 1: calculate the average of the numbers. Step 2: Calculating deviations from the mean In the next step we need to calculate the deviations from the mean . For each number in the set, we simply subtract the mean from that number. For our set of numbers 10, 20, 30, 40, and 50 the deviations from the mean (which is 30) are: 10 less 30 = -20 20 less 30 = -10 30 less 30 = 0 40 less 30 = +10 50 less 30 = +20 That’s all in step 2: subtract the mean from each number. Step 3: Squaring the deviations In step 3 we need to square each deviation . To square a number means to multiply that number by itself. For the numbers in our set, we get: For 10 the deviation is -20 and squared deviation is -20 x -20 = 400 For 20 the deviation is -10 and squared deviation is -10 x -10 = 100 For 30 the deviation is 0 and squared deviation is 0 x 0 = 0 For 40 the deviation is 10 and squared deviation is 10 x 10 = 100 For 50 the deviation is 20 and squared deviation is 20 x 20 = 400 That was step 3: square all the deviations. The importance of squaring the deviations Why are we doing this? Squaring numbers has two effects. Firstly, any negative number squared is a positive number. This way we get rid of the negative signs we had with deviations from the mean for numbers which were smaller than the mean. Secondly, squaring gives much bigger weight to big numbers (or big negative numbers) than to numbers close to zero. Squaring the deviations avoids some troubles we would otherwise have in the next and final step, step 4, as you’ll see. Step 4: Calculating variance as average of squared deviations Now when we have the squared deviations from the mean (you see it’s almost the whole definition of variance), we have only one thing left: the word average . As simple as it sounds, step 4 is only calculating arithmetic average of the squared deviations we have just calculated in step 3. It is exactly the same thing as we did in step 1 – the only difference is that in step 1 we were calculating the average of the original numbers (10, 20, 30, 40, and 50), but now in step 4 we are calculating the average of the squared deviations . In our example, the squared deviations are 400, 100, 0, 100, and 400. We sum them up and get 1,000. Then we divide 1,000 by 5 and get 200. That’s it. The variance of the set of numbers 10, 20, 30, 40, and 50 is 200. Variance is the average (step 4) squared (step 3) deviation (step 2) from the mean (step 1). Back to the importance of squaring the deviations Let’s now briefly come back to the importance of squaring the deviations in step 3. If you would calculate the average of (not squared) deviations from the mean (you would be calculating variance without step 3), you would always get a variance of zero . ¿Por qué? By definition, the sum (and therefore also the average) of all deviations from arithmetic average for any set of data must be zero, because the positive and negative deviations cancel each other. By squaring them, you make all the deviations positive and they can add up. Calculating standard deviation from variance In finance and in most other disciplines, standard deviation is used more frequently than variance. Both are measures of dispersion or volatility in a data set and they are very closely related. Standard deviation is the square root of variance . Vice versa, variance is standard deviation squared. To calculate standard deviation from variance, only take the square root . In our example, the variance was 200, therefore standard deviation is 14.14. For calculating standard deviation of a data set, first calculate the variance and then find the square root. Population vs. sample variance and standard deviation In this article we were calculating population variance and standard deviation. For sample variance and standard deviation, the only difference is in step 4, where we divide by the number of items less one. In our example we would divide 1,000 by 4 (5 less 1) and get the sample variance of 250. Sample standard deviation would be 15.81 (square root of 250). For more information regarding the difference between population and sample see Population vs. Sample Variance and Standard Deviation . Calculating variance and standard deviation in practice In our example we were calculating variance and standard deviation of a set of 5 numbers. In reality they are usually calculated for much bigger sets of data . For example if you want to use variance and standard deviation to calculate historical volatility of a stock . using only 5 occurrences will not get you anywhere, as the sample would be too small to reveal any significant and useful information to you. You will most likely work with at least tens of numbers (for example you take every day’s closing price and day-to-day performance of that stock in a period of a few months). To avoid spending several hours on calculating and squaring the individual deviations from the mean, you can easily calculate variance or standard deviation in Excel (using VAR and STDEV or related functions). You can easily calculate variance and standard deviation, as well as skewness, kurtosis, percentiles, and other measures, using the Descriptive Statistics Excel Calculator . By remaining on this website and/or using Macroption content, you confirm that you have read and agree with the Terms of Use Agreement just as if you have signed it. The Agreement also includes Privacy Policy and Cookie Policy. If you do not agree with any part of this Agreement, please leave the website and stop using any Macroption content now. All information is for educational purposes only and may be inaccurate, incomplete, outdated or plain wrong. Macroption is not liable for any damages resulting from using the content. No financial, investment or trading advice is given at any time. &dupdo; 2016 Macroption – Todos los derechos reservados. moving truck rental greensboro nc moving truck rental greensboro nc Moving Truck Rental in Greensboro, NC at Pleasant Garden Rd Self Storage. Moving to or from Greensboro, NC, 27406? Get FREE truck rental rate quotes at Pleasant Rent a moving truck from Penske Truck Rental – Greensboro East in Greensboro, North Carolina. Check out hours of operations, driving directions and key drop box Rent a moving truck from Penske Truck Rental – Greensboro in Greensboro, North Carolina. Check out hours of operations, driving directions and key drop box Fleetco Trailer Rentals provides semi trailer leasing, rental, and repair for fleet trailers and storage trailers. Rental, repair / maintenance, and leasing have been With 4 self storage facilities in Greensboro, NC, Uncle Bob’s offers storage units starting at $22. 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Get FREE truck rental rate quotes at Pleasant … Rent a moving truck from Penske Truck Rental – Greensboro East in Greensboro, North Carolina. Check out hours of operations, driving directions and key drop box … Rent a moving truck from Penske Truck Rental – Greensboro in Greensboro, North Carolina. Check out hours of operations, driving directions and key drop box … Fleetco Trailer Rentals provides semi trailer leasing, rental, and repair for fleet trailers and storage trailers. Rental, repair / maintenance, and leasing have been … Parents, educators, advocates, and attorneys come to Wrightslaw for accurate, reliable information about special education law, education law, and advocacy for children with disabilities. Begin your search in the Advocacy Libraries and Law Libraries. You will find thousands of articles, cases, and resources about dozens of topics * New to Wrightslaw? * In this short video, Pete Wright gives you a tour of Wrightslaw and shows you how to find answers to questions. Sound Familiar? Charles wrote, "All of this is new. I'm overwhelmed. Where do I start?" In Game Plan for New Parents. we give you a checklist of what you need to do tomorrow, next week, next year. * New U.S. Supreme Court Case? * On June 12, 2015, the Sixth Circuit in Fry v. Napoleon Comm Sch Dist held that the parents' case about their daughter's service dog had to be dismissed because the parents failed to exhaust their administrative remedies, i.e. pursue a spec ed due process hearing. Read our discussion of the case. Read decision in Fry v. Napoleon Comm Sch. Dist by the Court of Appeals for the Sixth Circuit. Newsletter . Subscribe to the free, weekly Special Ed Advocate. In this issue of the Special Ed Advocate. you will learn what the law requires for evaluations, the benefits of a comprehensive evaluation, and how to find an appropriate independent evaluator. Assessment 101: Why Tests and Assessments Matter! You are Invited to visit the Wrightslaw Way Blog. Help us create a unique online community. Recent posts and comments. Hot Topics in Special Education Law & Advocacy ¡Nuevo! Guidance Publication on Educating Students with Dyslexia, Dyscalculia and Dysgraphia The USDOE issued guidance about the need to address the "unique educational needs of children with dyslexia, dysgraphia and dyscalculia" and the legal requirements for ensuring that these students receive a "high-quality education." Please make copies and share! Cool Tool! IEP Pop-Up - IEP Pop-Up: Resolving Disputes teaches strategies to resolve disagreements, steps to take if you disagree, and options you have if unable to resolve your dispute. Listen and Watch Pete's video about the case AC v. Shelby County. In April 2013, the US Court of Appeals for the Sixth Circuit issued a decision about retaliation against a child with Type 1 diabetes. The case focused on false allegations of child abuse by the school principal. Every Student Succeeds Act (ESSA) Signed December 10, 2015 - (391 pages in PDF), click here to download Ebonie S. v. Pueblo School District - In federal court, the jury returned a 2.2 million dollar verdict. The Complaint alleged that "Ebonie was routinely restrained in a 'secure wrap-around table' during the school day at Bessemer Academy". [and] this restraint was "for the convenience of the Defendants. She was restrained because it was easier for the Defendants than providing District staff with appropriate training to address the challenging behaviors often exhibited in a special needs classroom." (Paragraph 36). It was further alleged that this table was only used on children with disabilities so its use violated the US Constitution, Section 504 and the Americans with Disabilities Act. Links to the Complaint, Jury Instructions and Jury Verdict below. Pueblo appealed to the 10th Circuit. (Note: see other federal court complaints on our Law Library: Fed Court Complaints page.) Law School Exam - Give it a try. Take the Final Exam that Pete and Pam administered to their students at the William & Mary School of Law. To see one of their students during oral argument in an LRE case, click here. 2016 Institute of Special Education Law & Advocacy (ISEA) July 31 - August 5, 2016. Applications Open. Highlights from ISEA 2015 . View the Slideshow - ISEA 2015 . Books, Training Downloads, DVDs & Websites For a year and a half, Pete and Pam Wright were Adjunct Professors of Law at the William and Mary School of Law where they taught a course about special education law and advocacy and assisted in creating the Law School's Special Education Law Clinic. They are co-founders and faculty at the William and Mary Law School Institute of Special Education Advocacy (ISEA). Wrightslaw: All About IEPs (ISBN: 978-1-892320-20-9, 192 pages) by Pete Wright, Pam Wright, and Sue O'Connor. Wrightslaw: All About Tests and Assessments (ISBN: 978-1-892320-23-0, 200 pages) by Pete Wright, Pam Wright, and Melissa Farrall. Wrightslaw Multimedia Training Programs - Understanding Your Childs Test Scores (1.5 hrs) and Wrightslaw Special Education Law and Advocacy Training (6.5 hrs). Pete and Pam built several websites to help parents of children with disabilities in their quest for quality special education programs. Fetaweb.com. the companion website to Wrightslaw: From Emotions to Advocacy, has advocacy information and resources to supplement the FETA book. IDEA 2004 at Wrightslaw provides current information about the Individuals with Disabilities Education Act of 2004 (IDEA 2004). Learn about new requirements for IEPs, IEP teams, IEP meetings, eligibility, evaluations, eligibility for specific learning disabilities, child find, reevaluations, parental consent, accommodations, alternate assessments, transition, and more. No Child Left Behind at Wrightslaw offers accurate, up-to-date information about the No Child Left Behind Act - research-based instruction, proficiency testing, parent involvement, tutoring and supplemental educational services, highly qualified teachers, and public school choice. At the Yellow Pages for Kids with Disabilities. you'll find listings for educational consultants, advocates, advisors, psychologists, diagnosticians, health care specialists, academic tutors, speech language therapists, and attorneys. You'll also find government programs, grassroots organizations, disability organizations, legal and advocacy resources, special education schools, and parent support groups. Last revised: 03/15/16
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