Statistics dealing with data that does not come from a known probability distribution. Especially useful as the methods can be used in Six Sigma for any type of data. However, if used for parametric data, non-parametric methods will give higher p-values as less information (no knowledge of data distribution) is used in the hypothesis test.
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