Which is not true of the two-tailed F-test for equality of variances?
A) It requires reversing the numerator and denominator d.f.to obtain the left-tail critical value.
B) It can be avoided by "folding" the larger variance into the numerator and adjusting $\alpha$.
C) It is fairly robust to the presence of nonnormality in the populations being sampled.

Question

Quizplus · Accepted Answer

The two-tailed F-test for equality of variances is not robust to nonnormality; it assumes that the populations being sampled are normally distributed.

Which Is Not True of the Two-Tailed F-Test for Equality α\alphaα

Which Is Not True of the Two-Tailed F-Test for Equality $\alpha$