An advantage of nonparametric tests is that they require less stringent assumptions than parametric tests.

Name: An advantage of nonparametric tests is that they require less stringent assumptions than parametric tests.
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Nonparametric tests do not assume a specific distribution for the data, making them more flexible and applicable in situations where parametric test assumptions (like normality) cannot be met.

An Advantage of Nonparametric Tests Is That They Require Less