The Chi-Square 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 no association exists. A high Chi-Square 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, health research, and market research. It helps researchers understand patterns in data, such as whether a particular treatment affects outcomes or if preferences differ among demographic groups.