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. Chi-square tests belong to the class of statistical inferential procedures known as nonparametric or distribution‐free tests.
The chi-square test is a significance test based on chi-square distribution. A chi-square test is most commonly used as a test of homogeneity or a test of independence for contingency table analysis, and as a goodness-of-fit test for analysis of observed frequency distribution. Chi-square test statistic can be calculated as the sum of the squared differences between observed and expected frequencies, \( \sum {\left({O-E} \right)^2/E} \) , where O is the observed frequency and E is the expected frequency. Statistic produced by this test follow a chi-squared distribution, with \( (r-1)\;(c-1) \) degrees of freedom for a contingency table analysis and \( r-1 \)...
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© 2008 Springer-Verlag
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(2008). Chi-Square Test . In: Kirch, W. (eds) Encyclopedia of Public Health. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5614-7_382
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DOI: https://doi.org/10.1007/978-1-4020-5614-7_382
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-5613-0
Online ISBN: 978-1-4020-5614-7
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