One of the unusual things about distribution-free tests is that they are often set up so that
A) they only work with equal sample sizes.
B) the null hypothesis is never assumed to be true.
C) we reject the null hypothesis when our test statistic is too small, rather than too large.
D) they are all named after people.

Question

Quizplus · Accepted Answer

Distribution-free tests, also known as non-parametric tests, do not assume a specific distribution for the data. One of their unusual aspects is that for some of these tests, the null hypothesis is rejected when the test statistic is too small, which is contrary to the more common scenario where rejection occurs for large test statistics. This characteristic allows these tests to be applied in a wider range of situations, including those with small sample sizes or non-normal data distributions.

One of the Unusual Things About Distribution-Free Tests Is That