A two-factor between-subjects analysis of variance is based upon the assumption that the in the populations sampled.
A)scores are symmetrical and bimodal
B)means are equal
C)means are normally distributed
D)variances of scores are equal

Question

Quizplus · Accepted Answer

A two-factor between-subjects ANOVA assumes that the variances of the scores in each group (defined by the two factors) are equal. This assumption is necessary to ensure that the F ratio, which is used to test for significant main effects and interactions, is valid. If the variances are not equal, then the F ratio may be biased and the results may not be reliable.

A Two-Factor Between-Subjects Analysis of Variance Is Based Upon the Assumption