When a statistical test is described as "robust," it means that the test
A) is easy to compute without the help of a computer.
B) is unlikely to result in a Type II error.
C) requires the use of all actual case values for its computation
D) still produces accurate results if not all of its assumptions for use can be met.

Question

Quizplus · Accepted Answer

A robust statistical test is one that still produces accurate results even if some of its assumptions are not met. This means that the test is less affected by outliers or violations of assumptions such as normality or equal variances. It does not necessarily mean that the test is easy to compute or that it is unlikely to result in a Type II error.

When a Statistical Test Is Described as "Robust," It Means