When the assumptions behind parametric tests are not met,
A) they are not useful tests.
B) they cannot even be computed.
C) distribution-free tests may have more power.
D) none of the above

Question

Quizplus · Accepted Answer

When the assumptions behind parametric tests are not met, distribution-free tests may have more power. This is because distribution-free tests do not rely on assumptions related to the underlying distribution of the data, such as normality or equality of variances, and may be more appropriate for non-normal or skewed data. Therefore, they can still be used as an alternative. Option A and B are incorrect because parametric tests can still be useful and computed, but their validity may be compromised if the assumptions are not met.

When the Assumptions Behind Parametric Tests Are Not Met