A disadvantage of nonparametric inference tests is that they:
A) are less likely to show statistical significance than parametric tests
B) require more assumptions than parametric tests
C) require more valid data than parametric tests
D) are harder to calculate than parametric tests

Question

Quizplus · Accepted Answer

Nonparametric tests are less powerful than parametric tests, meaning they are less likely to detect a true effect (show statistical significance) when one exists, especially when sample sizes are small. This is because they do not make assumptions about the population's distribution, leading to a more conservative approach.

A Disadvantage of Nonparametric Inference Tests Is That They