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Chi-Square Test
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Chi-Square 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. 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