Nonparametric tests are useful when:
A)the researcher cannot assume normality.
B)there is a small number of cases.
C)data is not measured at the interval level.
D)all of the above.

Question

Quizplus · Accepted Answer

Nonparametric tests are particularly useful in situations where assumptions about the population cannot be made (such as normality), when the sample size is small, or when data are measured on an ordinal scale or are nominal, rather than interval or ratio.

Nonparametric Tests Are Useful When