What might be a reason to choose parametric tests over non-parametric tests even if some parametric assumptions are violated?
A) Non-parametric tests are harder to carry out.
B) Non-parametric tests are less powerful.
C) Parametric tests are less robust.
D) Parametric tests are more likely to show causal effects.

Question

Quizplus · Accepted Answer

Parametric tests are generally more powerful than non-parametric tests, meaning they have a higher probability of detecting a true effect when it exists, even if some assumptions are slightly violated.

What Might Be a Reason to Choose Parametric Tests Over