Analysis of Variance Is the Most Common Inferential Statistical Procedure

Analysis of variance is the most common inferential statistical procedure used to analyze experiments because

A) most researchers are more interested in whether there are differences in the variance among the conditions than in whether there are differences in the means.
B) it is the only statistical procedure that can test either between-subjects factors or within-subjects factors.
C) there are several different versions of it, and so it can test for possible treatment effects more accurately than the two-sample tests.
D) there are several different versions of it, and so it can be used with many different designs.