Nonparametric tests have each of the following advantages over parametric tests, except:
A) they avoid the error caused by assuming that a population is normally distributed when it is not.
B) the data required (for instance, nominal or ordinal data) may be easier to collect than ratio- or interval-scaled data.
C) the computations that need to be made are often simpler.
D) they are more reliable when sample sizes are small.

Question

Quizplus · Accepted Answer

Nonparametric tests are generally less powerful and less sensitive than their parametric counterparts, so they are not more reliable when sample sizes are small. However, they do have advantages in terms of being more robust to violations of assumptions (such as normality) and simpler to compute, and they can be applied to a wider range of data types.

Nonparametric Tests Have Each of the Following Advantages Over Parametric