What is a difference between the two-way chi-square test and the two-way ANOVA?
A) The two-way chi-square test assumes that the central limit theorem is true while the two-way ANONA does not.
B) The two-way chi-square test produced a p-value while the two-way ANOVA does not.
C) The two-way chi-square test allows you to test the interaction of interval data while the two-way ANOVA does not.
D) None of the above.

Question

Quizplus · Accepted Answer

The two-way chi-square test and the two-way ANOVA are two different statistical tests that are used for different types of data. They cannot be compared or differentiated as they serve different purposes. Therefore, none of the given options are correct.

What Is a Difference Between the Two-Way Chi-Square Test and the Two-Way