What is true about the chi-square test of independence?
A) Chi-square test of independence results are important calculations in most studies.
B) In a relatively small sample size, the chi-square test of independence can reduce the chance of a Type II error.
C) The chi-square test of independence is a powerful test used to examine differences in studies with two subjects.
D) The chi-square test of independence is used to determine whether two variables are related or independent.

Question

Quizplus · Accepted Answer

The chi-square test of independence is used to determine whether two variables are related or independent. Option A is incorrect as the chi-square test of independence is not important in all studies, but only in studies that involve categorical data. Option B is incorrect as a small sample size can increase the chance of a Type II error. Option C is incorrect as the chi-square test of independence is not used to examine differences in studies with two subjects but is used to examine the association between two categorical variables.

What Is True About the Chi-Square Test of Independence