The chi-square test is an effective Six Sigma tool used to determine if there is a significant association between categorical variables. It analyzes the differences between observed and expected frequencies in contingency tables, helping to identify patterns and relationships. This test is particularly useful for quality control and process improvement, as it enables organizations to validate hypotheses, detect deviations from expected behavior, and make data-driven decisions. By understanding the relationships between variables, the chi-square test supports root cause analysis and helps prioritize actions to enhance process efficiency and product quality.
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