In statistics, in the analysis of two-way randomized block designs where the response variable can take only two possible outcomes (coded as 0 and 1), Cochran's Q test is a non-parametric statistical test to verify if k treatments have identical effects. It is named for William Gemmell Cochran. Cochran's Q test should not be confused with Cochran's C test, which is a variance outlier test.
Read more about Cochran's Q Test: Background, Description, Critical Region, Assumptions, Related Tests
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