XLSTAT - Cochran’s Q test

Cochran’s Q test definition

The Cochran’s Q test is presented as a particular case of the Friedman’s test (comparison of k paired samples) when the variable is binary.

As a consequence, the null H₀ and alternative H_a hypotheses for the Cochran’s Q test are:

• H₀: the k treatments are not significantly different.
• H_a: the k treatments are significantly different.

Input data for the Cochran’s Q test

Two possible formats are available for the input data:

• You can select data in a "raw" format. In this case, each column corresponds to a treatment and each row to a subject (or individual, or bloc).
• You can also select the data in a "grouped" format. Here, each column corresponds to a treatment, and each row corresponds to a unique combine of the k treatments. You then need to select the frequencies corresponding to each combine.