Chi-square Statistic

Chi-square statistic is a measure of the difference between the expected and observed frequencies of a categorical variable. It is used to determine whether there is a significant association between two categorical variables. The test involves calculating the difference between the observed and expected frequencies for each category, squaring the differences, dividing them by the expected frequencies, and summing the results. The resulting value is compared to a critical value from the chi-square distribution to determine whether the difference between the observed and expected frequencies is statistically significant. Chi-square statistic is commonly used in data science and artificial intelligence to test hypotheses about the relationship between categorical variables.
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