Kolmogorov-Smirnov and related goodness-of-fit tests
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I understand how to compare two distributions using the KS or related tests. But my situation is somewhat different. I have 15 distributions from one population (~100 samples per distribution) and 15 distributions from a different population. I can generate the mean +/- sdev distribution for each of the 2 populations. How do I use the KS, Anderson-Darling, or Cramer Von Mises tests with these data (i.e., N=15 sample distributions from each of 2 populations)? I want to test whether the two populations are significantly different from each other.