Difference between parametric and nonparametric test

1.	Difference between parametric and nonparametric test
Answer» ANSWER: PARAMETRIC tests assume underlying statistical distribution in the data. Therefore several conditions of validity MUST be met so that the result of parametric TEST reliable. Nonparametric tests do not rely on any distribution. They can THUS be applied even if parametric conditions of validity are not met.

Answer»

PARAMETRIC tests assume underlying statistical distribution in the data. Therefore several conditions of validity MUST be met so that the result of parametric TEST reliable.

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

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Difference between parametric and nonparametric test

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