In a chi-square test, the null hypothesis specifies that there is no significant association between the categorical variables being analyzed. It asserts that the observed frequencies in each category are consistent with the expected frequencies derived from the assumption of independence. Essentially, it posits that any differences observed are due to random chance rather than a true effect or relationship.
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