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Hipótesis nula vs. alternativa

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Hipótesis nula vs. alternativa

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About this activity

Conceptos clave en pruebas estadísticas

Created by

glenni santana
glenni santana
Dominican Republic
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Hipótesis nula vs. alternativa

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Hipótesis nula vs. alternativa
 

Hipótesis nula vs. alternativaOnline version

Conceptos clave en pruebas estadísticas

by glenni santana
1

En una prueba estadística, se compara la nula con los datos observados.

2

La hipótesis nula solo se aplica en experimentos con humanos.

3

La hipótesis nula debe aceptarse si el p-valor es mayor a 0.05.

4

Ambas hipótesis se prueban al mismo tiempo y se aceptan conjuntamente.

5

La hipótesis nula es siempre la opción más interesante para la investigación.

6

La hipótesis nula se formula para ser puesta a prueba y potencialmente refutada.

7

La hipótesis alternativa propone que sí hay diferencia o efecto.

8

La hipótesis nula propone que no hay diferencia o efecto.

9

La hipótesis alternativa busca demostrar que no hay efecto.

10

Si el p-valor es menor que el nivel de significancia, se rechaza la hipótesis nula.

 
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