In non parametric test information about population is
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For example, when comparing two independent groups in terms of a continuous outcome, the null hypothesis in a parametric test is H0: μ1 =μ2. In a nonparametric test the null hypothesis is that the two populations are equal, often this is interpreted as the two populations are equal in terms of their central tendency.
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A non parametric test (sometimes called a distribution free test) does not assume anything about the underlying distribution (for example, that the data comes from a normal distribution). It usually means that you know the population data does not have a normal distribution.
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