is a set of comparisons which takes place among the means of samples in k populations. These comparisons are tested in a post hoc design which ensures that the level of type I errors which can effect the experiment is kept to a minimum.

MULTIPLE COMPARISONS: "Making multiple comparisons attempts to keep the level of type I errors at a minimum. "
Cite this page: N., Pam M.S., "MULTIPLE COMPARISONS," in, April 7, 2013, (accessed August 4, 2021).