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Chi-square test nonparametric test is used to test hypotheses about the proportion of cases in different categories

A statistical method for assessing the discrepancy between observed and expected data is the Chi-Square test. This test can also be performed to see if our data's categorical variables are related to it. It is useful to determine whether a discrepancy between two categorical variables is the result of coincidence or an association between them.

Chi-square is a statistical test that looks at how categorical variables from a random sample differ from one another to see if the expected and actual findings match together well.

Fundamentally, a Chi-Square test analyzes data based on the observations of a random assortment of factors. It determines how well a model matches the real observed data.

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