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Non-parametric exams are types whose products usually do not present certain conditions for parameters of data sets from which the sample was drawn. They are usually described compared to parametric exams since they never need to have calculations as potent as the ones demanded by parametric check. Parametric checks need to have pretty precise distribution constructions to generally be satisfied in the information, but non-parametric checks will not be depending on distributions like that and as a consequence they can be applied even if parametric conditions for validity are usually not met by facts sets.
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