Nonparametric statistics refers to a branch of statistics that does not assume a specific distribution for the population from which the samples are drawn. Unlike parametric methods, which rely on assumptions about the parameters (such as mean and variance) of a population's distribution (often assuming a normal distribution), nonparametric methods are more flexible as they can be used with data that do not meet these assumptions.
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