In addition, the concept of power is used to make comparisons between different statistical testing procedures: for example, between a parametric and a nonparametric test of the same hypothesis.

The effects of base-composition fluctuations, as well as varying lengths of TCRs, motivated our nonparametric statistical test for close spacing.

It is a nonparametric test and appropriate to use when the data are right skewed and censored (technically, the censoring must be non-informative).

We also do not carry out permutation or other nonparametric tests [ 18] because of the small sample size (that is, 2 + 4).

The Durbin test is a nonparametric test for balanced incomplete designs that reduces to the Friedman test in the case of a complete block design.

Instead, nonparametric tests can be used, such as the Mann-Whitney test for unpaired situation or the sign test for paired situation.

Both a parametric and nonparametric test are described in the paper, but the term "Goldfeld-Quandt test" is usually associated only with the former.

It is a nonparametric test that tests the null hypothesis that the medians of the populations from which two samples are drawn are identical.

The following table summarizes some common parametric and nonparametric tests for the means of one or more samples.

The Kruskal-Wallis test and the Friedman test are nonparametric tests, which do not rely on an assumption of normality.