Nonparametric procedures are usually not our first choice among statistical procedures because
A)the probability of making a Type I error is too high.
B)the probability of making a Type II error is too high.
C)nonparametric procedures are not inferential statistics.
D)they are less powerful than parametric procedures.

Question

Quizplus · Accepted Answer

Nonparametric procedures are generally less powerful than parametric procedures, meaning they may require larger sample sizes to detect significant differences or relationships. Therefore, parametric procedures are typically preferred when assumptions of normality and equal variances are met. However, nonparametric procedures have the advantage of being more robust to violations of assumptions and can be used when data do not meet parametric assumptions.

Nonparametric Procedures Are Usually Not Our First Choice Among Statistical