Hello, I m a running parallel chi-squared tests on the same sample, and I have sort of noticed that if I select a somehow smaller set of observations I tend to get smaller, less significative Chi-Squared values.
Is this the case? I mean, chi-squared values are sort of dependent upon sample sizes? If so, what woudl be a correction/alternative test that avoids this dependency? Thanks, Luca . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
