Chi-square Tests
Chi-square tests are statistical hypothesis tests that are used to determine whether there is a significant association between two categorical variables. The test compares the observed data with the expected data, assuming that there is no significant difference between the two variables. The test calculates a chi-square statistic, which is then compared to a critical value from a chi-square distribution to determine whether the observed data is significantly different from the expected data. Chi-square tests are commonly used in data science and artificial intelligence to analyze categorical data, such as survey responses or demographic data, and to determine whether there is a significant relationship between two variables.
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