Question

Difference between parametric and non parametric statistics

Answer 1

Answer:

Parametric tests are those that make assumptions about the parameters of the population distribution from which the sample is drawn. This is often the assumption that the population data are normally distributed. Non-parametric tests are “distribution-free” and, as such, can be used for non-Normal variables.

Answer 2

Parametric tests assume underlying statistical distributions in the data. ... Nonparametric tests do not rely on any distribution. They can thus be applied even if parametric conditions of validity are not met. Parametric tests often have nonparametric equivalents.

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