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Chi-square tests are statistical methods used to determine whether there is a significant association between categorical variables. They compare the observed frequencies in each category with the frequencies that would be expected if there were no association, allowing researchers to infer relationships based on survey data. These tests are particularly useful in analyzing survey results, helping to identify patterns and correlations that can inform decision-making.
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