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Chi-square tests are statistical methods used to determine if there is a significant association between categorical variables. These tests compare the observed frequencies in each category to the frequencies expected if there were no association, helping researchers understand patterns and relationships within data, which is crucial in data journalism for drawing conclusions from survey data or other categorical datasets.
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