Statnote 40: Cochran's Q test

Richard Armstrong, Anthony Hilton

Research output: Contribution to specialist publicationArticle

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 .
LanguageEnglish
Pages31-33
Number of pages3
Volume16
No.1
Specialist publicationMicrobiologist
Publication statusPublished - 1 Mar 2015

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Forestry
Nurseries

Keywords

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

Cite this

Armstrong, R., & Hilton, A. (2015). Statnote 40: Cochran's Q test. Microbiologist, 16(1), 31-33.
Armstrong, Richard ; Hilton, Anthony. / Statnote 40: Cochran's Q test. In: Microbiologist. 2015 ; Vol. 16, No. 1. pp. 31-33.
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Armstrong, R & Hilton, A 2015, 'Statnote 40: Cochran's Q test' Microbiologist, vol. 16, no. 1, pp. 31-33.

Statnote 40: Cochran's Q test. / Armstrong, Richard; Hilton, Anthony.

In: Microbiologist, Vol. 16, No. 1, 01.03.2015, p. 31-33.

Research output: Contribution to specialist publicationArticle

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Armstrong R, Hilton A. Statnote 40: Cochran's Q test. Microbiologist. 2015 Mar 1;16(1):31-33.