Rejection of a hypothesis using a nonparametric test is less convincing than using an equivalent parametric test, since nonparametric tests generally make fewer assumptions.

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This statement is false. Rejection of a hypothesis using a nonparametric test is equally convincing as using an equivalent parametric test. Nonparametric tests are used when assumptions of the parametric test are not met or when data are not normally distributed. Nonparametric tests are considered robust and can often be more powerful compared to parametric tests especially when there are outliers or the sample size is small.

Rejection of a Hypothesis Using a Nonparametric Test Is Less