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Non-parametric testing is the statistical method used in a specific probability distribution. Also referred to as a distribution-free test, the non-parametric test doesn’t assume anything about the distribution being tested. It differs from parametric testing in that the latter includes parameters such as median, mean, variance, standard deviation, etc.  that aid in observing data and estimating the parameters of a distribution.

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