The Chi-Squared test is a statistical method used to determine if there is a significant association between categorical variables. It compares the observed frequencies of events in different categories to the expected frequencies, which are calculated based on the assumption that there is no association. A high Chi-Squared value indicates a greater difference between observed and expected values, suggesting a potential relationship. This test is commonly used in various fields, including social sciences, biology, and market research. It helps researchers understand patterns in data, such as whether two groups differ in their preferences or behaviors. The results can guide decision-making and further investigations.