Hilton, Anthony and Armstrong, Richard A. (2005). Statnote 1: is the data normal? Microbiologist, 2005 , pp. 34-35.
Abstract
Testing whether an observed distribution of observations deviates from normality is a common type of statistical test available in statistics software. Most software offer two ways of judging whether there are significant deviations of the observed from the expected distributions, viz., chi-square and the KS test. These tests have different sensitivities and problems and often give conflicting results. The results of these tests together with observations of the shape of the observed distribution should be used to judge normality.
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 |
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Uncontrolled Keywords: | observed distribution,observations,normality,statistical test,statistics software,significant deviations |
Publication ISSN: | 1479-2699 |
Last Modified: | 11 Nov 2024 09:10 |
Date Deposited: | 19 Aug 2019 09:32 |
Full Text Link: | |
Related URLs: |
http://issuu.co ... ocs/microjune05
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2005-06 |
Authors: |
Hilton, Anthony
(
0000-0001-8025-5270)
Armstrong, Richard A. ( 0000-0002-5046-3199) |