The analysis of means for variances(ANOMV)is used for testing the k-sample 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 comparable to the best competing tests.In order to be able to determine the power for various combinations of k,degrees of freedom(ν)，and level of significance (α),the least favorable configuration for the k variances is discussed;power curves are presented forα=0.1,0.05,0.01,k=3(1)8,10,12,and ν=3(1)15,20,30,60.These power curves are useful for determining appropriate sample sizes and for interpreting experimental results.
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