When all the assumptions of the interval tests are not met, the researcher should use
A) parametric test
B) non-parametric tests
C) tests of association
D) none of these

Question

Quizplus · Accepted Answer

When the assumptions of interval tests are not met, the best choice is to use non-parametric tests as they do not require the same assumptions as parametric tests. Non-parametric tests are also known as distribution-free tests and are used when the data does not follow a normal distribution or when the sample size is small. Examples of non-parametric tests include the Wilcoxon Rank-Sum test, the Kruskal-Wallis test, and the Mann-Whitney U test.

When All the Assumptions of the Interval Tests Are Not