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Use this tag to ask about the nature of nonparametric or parametric methods, or the difference between the two. Nonparametric methods generally rely on few assumptions about the underlying distributions, whereas parametric methods make assumptions that allow data to be described by a small number of parameters.

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Normally distributed data but small sample size, use nonparametric test?

In this case should a parametric test like an lm be used to analyse the difference between the 2 groups or should a nonparametric test like a Wilcox-mann-whitney U be used? …
Katharine Davies's user avatar