When the parametric assumption on the distribution is met,a parametric test is usually more powerful than a nonparametric test.

Name: When the parametric assumption on the distribution is met,a parametric test is usually more powerful than a nonparametric test.
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When the parametric assumption is met, a parameter test is able to make better use of the data and thus has higher power than a nonparametric test. However, if the assumption is not met, a nonparametric test may be more appropriate.

When the Parametric Assumption on the Distribution Is Met,a Parametric