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Discuss the differences between parametric and nonparametric statistical techniques.

Discuss the differences between parametric and nonparametric statistical techniques.

Math   Statistics-And-Probability   
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Parametric tests assume underlying statistical distributions in the data. Therefore, several conditions of validity must be met so that the result of a parametric test is reliable

Nonparametric tests do not rely on any distribution. They can thus be applied even if parametric conditions of validity are not met.

The parametric test is one which has information about the population parameter.

On the other hand, the nonparametric test is one where the researcher has no idea regarding the population parameter.

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