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Prueba de hipótesis de datos

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Prueba de hipótesis de datos

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Quiz de hipótesis estadística

Created by

gabriel guambo
gabriel guambo
Ecuador

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Prueba de hipótesis de datos
 

Prueba de hipótesis de datosOnline version

Quiz de hipótesis estadística

by gabriel guambo
1

¿Qué afirma la hipótesis nula (H0)?

2

¿Qué significa un p-valor?

3

¿Qué es el nivel de significancia (alpha)?

4

¿Qué es un error de tipo I?

5

¿Qué es un error de tipo II?

6

Prueba t para medias: ¿cuándo se usa?

7

Prueba chi-cuadrado: ¿qué evalúa?

8

¿Qué mide la potencia de una prueba?

9

Supuestos típicos de pruebas t

10

Un p-valor alto indica

Explicación

La H0 propone que no hay diferencia/efecto; cualquier diferencia es por azar.

El p-valor evalúa la compatibilidad de los datos con H0; bajo H0, menor es más evidencia.

Alpha fija cuánta evidencia es suficiente para rechazar H0; 0.05 es típico.

Error I = falsa alarma: decir que hay efecto cuando no lo hay.

Error II = fallo al detectar un efecto real.

La prueba t evalúa diferencias en medias cuando se cumplen condiciones de normalidad e independencia.

Chi-cuadrado mide si existe relación entre categorías en tablas de contingency.

La potencia indica cuán sensible es la prueba para detectar efectos reales.

La normalidad de los datos, independencia y varianza constante son clave para t.

Un p-valor alto sugiere no detectar un efecto significativo con los datos actuales.

 
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