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Prueba Q de Dixon y Grubbs
Interpretación Dado que nuestro estadístico de prueba Q (0) es menor que el valor crítico (0), no rechazamos la hipótesis nula. Dado que no pudimos rechazar la hipótesis nula, concluimos que el
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Prueba de significación estadística no paramétrica para probar la hipótesis nula de que el parámetro de localización (generalmente la mediana) es el mismo cuando se comparan dos grupos
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12.4: Valores críticos para la prueba Q de Dixon
La siguiente tabla proporciona valores críticos para Q (α, n), donde α está la probabilidad de rechazar incorrectamente el valor atípico sospechoso y n es el número de muestras en el conjunto de datos.
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Métodos y fórmulas para Prueba de valores atípicos
El estadístico de prueba r 10 (también denominado Q de Dixon) es adecuado cuando la muestra solo incluye un valor extremo. Los valores críticos para los estadísticos de la prueba de Dixon se tabulan
Prueba Q de Dixon _ AcademiaLab
En estadística se utiliza el test Q de Dixon, o simplemente el test Q. para la identificación y rechazo de valores atípicos. Esto supone una distribución normal y, según Robert Dean y Wilfrid Dixon, entre
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Prueba Q de Dixon Prueba Q de Dixon cuantificacion de los valores
La prueba Q de Dixon es un método estadístico que se utiliza para identificar y cuantificar valores atípicos en un conjunto de datos. Es particularmente útil cuando tiene un tamaño