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

True/False

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.