Chi-Square
Chi-Square is a statistical test that measures the relationship between two categorical variables. It is used to determine whether there is a significant association between the two variables or not. The test compares the observed data with the expected data and calculates the difference between them. The result is a chi-square statistic, which is compared to a critical value to determine whether the observed data is significantly different from the expected data. Chi-Square is commonly used in data science to test the independence of two variables and to identify patterns in large datasets.
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