A "robust" test implies that violations of the assumptions have little effect on the.
A)distribution of the standard error
B)distribution of the degrees of freedom
C)probability of a Type I error
D)probability of a Type II error

Question

Quizplus · Accepted Answer

A robust test is one that is not greatly affected by violations of assumptions, such as non-normality or non-equal variances. Therefore, the probability of a Type I error, which measures the likelihood of rejecting a true null hypothesis, would remain relatively constant even if assumptions are violated. The distribution of the standard error, degrees of freedom, and Type II error probability are all directly influenced by assumptions and violations of assumptions.

A "Robust" Test Implies That Violations of the Assumptions Have