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The chi-square test is a statistical method used to determine if there is a significant association between categorical variables. It helps in understanding whether the observed frequencies in a contingency table differ significantly from expected frequencies based on a specific hypothesis. This test is particularly valuable for analyzing data that can be organized into cross-tabulations, and it guides the selection of appropriate analysis techniques, influences the formulation and testing of hypotheses, and relies on understanding levels of measurement.
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