The analysis of means for variances (ANOMV) is used for testing the k-sampl
e homogeneity of variances hypothesis for samples from normal populations.
The test can be done in a graphical form and has been shown to have power c
omparable to the best competing tests. In order to be able to determine the
power for various combinations of k, degrees of freedom (nu), and level of
significance (alpha), the least favorable configuration for the k variance
s is discussed; power curves are presented for alpha = 0.1, 0.05, 0.01, k =
3(1)8, 10, 12, and nu = 3(1)15, 20, 30, 60. These power curves are useful
for determining appropriate sample sizes and for interpreting experimental
results.