The Chi-squared test is a statistical method used to determine if there is a significant association between categorical variables. It assesses how well observed data fit an expected distribution, helping researchers understand whether differences in data are due to chance or indicative of a real relationship. Commonly applied in hypothesis testing, the Chi-squared test can be utilized in various contexts, such as evaluating the effectiveness of predictive models or analyzing survey results. By comparing the observed frequencies of outcomes to the expected frequencies, this test provides valuable insights into the underlying patterns within the data.