Understanding the Chi-Square Test

The Chi-square test serves as a statistical tool used to examine the correlation between two or more categorical variables. It measures whether there is a meaningful difference between the observed and expected frequencies in a dataset. The test depends on the concept of chi-square, which indicates the sum of squared differences between the observe

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