Robust ANOVA tests are able to work with which two data 'violations'?
A)Outliers and homogeneity.
B)Heteroscedasticity and Type I errors.
C)Outliers and heteroscedasticity.
D)Homogeneity and Type II errors.

Question

Quizplus · Accepted Answer

Robust ANOVA tests are designed to work with data that violate the assumptions of homogeneity of variance (heteroscedasticity) and outliers. Therefore, the correct answer is C, which includes both outliers and heteroscedasticity. The other choices either include assumptions that are not violated by the data (choice B, Type I errors) or are not accounted for by robust ANOVA tests (choice A, homogeneity) or (choice D, Type II errors).

Robust ANOVA Tests Are Able to Work with Which Two