In a Chi-Squared Test of a Contingency Table, the Value $\chi ^ { 2 } = 12.678$

In a chi-squared test of a contingency table, the value of the test statistic was $\chi ^ { 2 } = 12.678$ , the significance level was $\alpha$ = 0.05 and the degrees of freedom was 6. Thus: A. we fail to reject the null hyp othesis at $\alpha = 0.05$ .
B. we reject the null hypothesis at $\alpha = 0.05$ .
C. we don't have enough evidence to accept or reject the null hypothesis at $\alpha = 0.05$ .
D. we should increase the level of significance in order to reject the null hypothesis.