Parametric tests such as F and t tests are more powerful then their nonparametric counterparts,if the assumptions needed to perform the parametric test are not violated.

Question

Quizplus · Accepted Answer

Parametric tests are based on the assumption that the data follows a specific distribution (usually a normal distribution) and have a higher level of statistical power compared to nonparametric tests. However, if the assumptions needed for the parametric test are violated, such as if the data is not normally distributed, the nonparametric test may be a better option.

Parametric Tests Such as F and T Tests Are More