Parametric tests are always more desirable than nonparametric tests.

Question

Quizplus · Accepted Answer

This statement is false. The choice between parametric and nonparametric tests depends on the assumptions and nature of the data being analyzed. Parametric tests assume that the data follows a specific distribution, such as a normal distribution, whereas nonparametric tests do not require any distributional assumption. Nonparametric tests may be more appropriate when data is skewed or has outliers or when sample sizes are small.

Parametric Tests Are Always More Desirable Than Nonparametric Tests