I want to compare the variance of two "different" data sets for hypothesis testing. If I assume the distributions of both data sets were normal, then I simply apply the F-test. But I do not want to assume that the distributions were derived from normal populations.
I've searched and searched, but can't seem to find a clear explanation of what is the appropriate replacement test (for the F test) for two non-normal distributions. Can anyone help? Why is there so much discussion about U-MannWhitney and other non-parametric tests that seem to focus more on T-test replacements. At least that is what it seems like from my limited perspective. Thanks, Jay . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
