Statnote 40: Cochran's Q test

Richard Armstrong; Anthony Hilton

Statnote 40: Cochran's Q test

Richard Armstrong
, Anthony Hilton

Research output: Contribution to specialist publication or newspaper › Article

Abstract

Cochran's Q-test is a non-parametric analysis which can be applied to a two-way design in which the data are binomial and can take only two possible outcomes, e.g., 0 or 1, alive or dead, present or absent, clean or dirty, infected or non-infected, and is an extension to the binomial tests introduced in Statnote 39 . This statnote describes the application of this test in the analysis of the changes which occur in the fungal flora of forestry nursery beds after two different sterilization procedures .

Original language	English
Pages	31-33
Number of pages	3
Volume	16
No.	1
Specialist publication	Microbiologist
Publication status	Published - 1 Mar 2015

Keywords

Cochran's Q test
two-way design
non-parametric statistics
binomial data

Cite this

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Statnote 40: Cochran's Q test

Abstract

Keywords

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