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Nonparametric statistics has two connotations. The first one is a technique which does not depend on data belonging to any particular allocation. The second one entails techniques which do not presume that the collection of a model is stable. They are extensively used to study populations that assume a ranked order. These tests do not make numerous or even unyielding hypothesis about population from which the sample is drawn.
This statistics is associated with the dealing of standard statistical problems. Here the common assumption with regard to normality is substituted by the general assumptions. It takes into consideration the form of distribution. Karl Pearson's χ²-test of fit is one of the earliest nonparametric statistics. The classical sign test is yet another method which is used in nonparametric statistics.
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