Hilton, Anthony and Armstrong, Richard A. (2006). Statnote 7: chi-square contingency tables. Microbiologist, 2006 , pp. 36-37.
Abstract
When the data are counts or the frequencies of particular events and can be expressed as a contingency table, then they can be analysed using the chi-square distribution. When applied to a 2 x 2 table, the test is approximate and care needs to be taken in analysing tables when the expected frequencies are small either by applying Yate’s correction or by using Fisher’s exact test. Larger contingency tables can also be analysed using this method. Note that it is a serious statistical error to use any of these tests on measurement data!
Divisions: | College of Health & Life Sciences > School of Biosciences College of Health & Life Sciences > Chronic and Communicable Conditions College of Health & Life Sciences College of Health & Life Sciences > School of Optometry > Optometry College of Health & Life Sciences > School of Optometry > Optometry & Vision Science Research Group (OVSRG) College of Health & Life Sciences > School of Optometry > Vision, Hearing and Language |
---|---|
Uncontrolled Keywords: | contingency table,chi-square distribution |
Publication ISSN: | 1479-2699 |
Last Modified: | 09 Dec 2024 09:18 |
Date Deposited: | 19 Aug 2019 09:32 |
Full Text Link: | |
Related URLs: |
http://issuu.co ... /dec06micro_web
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2006-12 |
Authors: |
Hilton, Anthony
(
0000-0001-8025-5270)
Armstrong, Richard A. ( 0000-0002-5046-3199) |