A chi-square independence test determines if two categorical variables are independent of each other or if there is an association between them. It compares observed frequencies with expected frequencies under the assumption of independence.
Related terms
Observed frequency: The actual count of occurrences for each category in a contingency table.
Expected frequency: The count of occurrences expected for each category assuming independence between variables.
Degrees of freedom: A value calculated based on the number of categories in each variable used in the chi-square test. It affects the critical value needed to determine statistical significance.