Nearly all of traditional statistical tests assume that data points are distributed along the "normal," Gaussian bell curve. The assumption may be explicit, may be hidden inside a chi-squared phrase, or may stand silently behind discussions of mean and variance. If your data don't match that assumption, stated or not, the tests give wrong answers. Nonparametric stats work without that assumption. In fact, most work without...
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