In a chi-squared test of a contingency table, the value of the test statistic was $\chi$² = 15.652, and the critical value at$\alpha$= 0.025 was 11.1433. Thus, we must reject the null hypothesis at$\alpha$ = 0.025.

Question

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The chi-squared test statistic (15.652) is greater than the critical value (11.1433) at a significance level of 0.025, which means we reject the null hypothesis. Therefore, the statement is true.

In a Chi-Squared Test of a Contingency Table, the Value χ\chiχ

In a Chi-Squared Test of a Contingency Table, the Value $\chi$