Which of the following statements about the Chi-square test is false?
A)When the differences between observed and expected frequencies are large, one must accept the null hypothesis.
B)The larger the Chi-square, the more related the two variables are.
C)The expected frequencies are theoretically calculated.
D)The Chi-square test is also called a "goodness of fit" test.
E)Chi-square analysis works best with data that are measured on a nominal scale.

Question

Quizplus · Accepted Answer

When the differences between observed and expected frequencies are large, one must reject the null hypothesis. The null hypothesis states that there is no significant difference between the observed and expected frequencies, and rejecting it implies that there is a significant difference.

Which of the Following Statements About the Chi-Square Test Is