Non-parametric Tests

In parametric tests we make assumptions about the distribution of the population and each parametric test is specific to a population parameter such as mean or variance, for example, a z-test.

A nonparametric test is not concerned with a parameter or makes minimal assumptions about the population being sampled.

A nonparametric test is primarily used in three situations:

  • when data does not meet distributional assumptions
  •  when data are given in ranks
  • when the hypothesis we are addressing does not concern a parameter

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