Question

If a test is a robust test...

a. it is sensitive to its underlying mathematical assumptions
b. it doesn't estimate any population parameters
c. it is insensitive to its underlying mathematical assumptions
d. it often may be used despite violations of its underlying mathematical assumptions
e. c and d

Answer 1

A robust test is insensitive to its underlying mathematical assumptions and can often be used despite violations of those assumptions.

Step-by-step explanation:

A robust test, in the context of statistical hypothesis testing, refers to a test that is not heavily influenced by violations of its underlying assumptions. In other words, a robust test is designed to provide reliable results even when certain assumptions about the data distribution or other conditions are not met.

A robust test is one that is insensitive to its underlying mathematical assumptions and can often be used despite violations of those assumptions (option d).