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Non-parametric checks are ones whose designs usually do not give specific conditions for parameters of data sets from which the sample was drawn. They tend to be defined in comparison to parametric tests because they don't require calculations as robust as those demanded by parametric check. Parametric exams will need very specific distribution constructions to be fulfilled in the info, but non-parametric exams usually are not depending on distributions like that and thus they are useful reference often applied even when parametric circumstances for validity are usually not achieved by facts sets.
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