One of the primary limitations of nonparametric tests is that they:
A) can only be used with scale data.
B) are limited to situations when the data are normally distributed.
C) have less statistical power than parametric tests.
D) result in an increase in the risk of a Type I error.

Question

Quizplus · Accepted Answer

Nonparametric tests typically have less statistical power than parametric tests, making them less sensitive to detecting true differences or relationships between variables. This is because nonparametric tests do not make assumptions about the distribution of the data, and therefore, have to use a larger sample size or have other limitations that reduce statistical power. However, this is not to say that nonparametric tests are not useful or valid in certain situations, particularly when the assumptions of parametric tests are not met.

One of the Primary Limitations of Nonparametric Tests Is That