Robustness in hypothesis testing means
A) departures from normality do not adversely affect the results.
B) there are no departures from normality.
C) the data is effected by outliers.
D) all processes can be exactly duplicated by selecting another pair of samples.

Question

Quizplus · Accepted Answer

Robustness in hypothesis testing refers to the test's ability to produce accurate results even when the assumptions (such as normality of data) are somewhat violated. It does not mean there are no departures from normality, that the data is affected by outliers, or that all processes can be exactly duplicated with another sample set.

Robustness in Hypothesis Testing Means