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 $\alpha$ = .025 was 11.1433.Thus,we must reject the null hypothesis at $\alpha$ = .025.

Question

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The given test statistic (15.652) is greater than the critical value (11.1433) at the 0.025 level of significance, indicating that the result is statistically significant and the null hypothesis can be rejected. Therefore, the answer is true.

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