Examining Power and Error in Tests of Significance

Students can explore power and error for one-tailed tests of significance (assuming the sampling distribution of sample means is normally distributed) by comparing the sampling distribution based on the hypothesized mean, the sampling distribution based on the real mean, and the area of rejection for the null hypothesis. Sliders allow changing the hypothesized and real means, the area of rejection, and standard deviation of the sampling distributions. Students are asked to consider what areas correspond to power and Type I and II errors.

 

Dan Ross

 
Tipo de recurso
Actividad
Etiquetas
error  power  significance 
Grupo destino (edad)
15 – 19+
Idioma
English
 
 
Versión de GeoGebra
4.2
Vistas
1659
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