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ChiSquare Test
Definition
A test that is frequently used to detect significant relationships between two variables measured on nominal scales, or to determine whether a distribution differs significantly from expectations. Chisquare tests belong to the class of statistical inferential procedures known as nonparametric or distribution‐free tests.
The chisquare test is a significance test based on chisquare distribution. A chisquare test is most commonly used as a test of homogeneity or a test of independence for contingency table analysis, and as a goodnessoffit test for analysis of observed frequency distribution. Chisquare test statistic can be calculated as the sum of the squared differences between observed and expected frequencies, \( \sum {\left({OE} \right)^2/E} \) , where O is the observed frequency and E is the expected frequency. Statistic produced by this test follow a chisquared distribution, with \( (r1)\;(c1) \) degrees of freedom for a contingency table analysis and ...
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 Title
 ChiSquare Test
 Reference Work Title
 Encyclopedia of Public Health
 Pages
 pp 112113
 Copyright
 2008
 DOI
 10.1007/9781402056147_382
 Print ISBN
 9781402056130
 Online ISBN
 9781402056147
 Publisher
 Springer Netherlands
 Copyright Holder
 SpringerVerlag
 Additional Links
 Topics
 Industry Sectors
 Editors

 Wilhelm Kirch ^{(1)}
 Editor Affiliations

 1. Network EUROlifestyle Research Association Public Health SaxonySaxony Anhalt e.V. Medical Faculty, University of Technology
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