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

Multiple Choice

In a chi-squared test of a contingency table,the value of the test statistic was $\chi$ ² = 12.678,and the critical value at $\alpha$ = 0.025 was 14.4494.Thus:

A) we fail to reject the null hypothesis at= 0.025.
B) we reject the null hypothesis at= 0.025.
C) we don't have enough evidence to accept or reject the null hypothesis at= 0.025.
D) we should decrease the level of significance in order to reject the null hypothesis.