Posted by **Danny** on Tuesday, August 18, 2009 at 12:36pm.

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

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

- statistics -
**PsyDAG**, Wednesday, August 19, 2009 at 12:50pm
If the test statistic does not exceed the value for P = .025, then you cannot reject the null hypothesis (A).

However, you have not given the degrees of freedom

(df) for the table. I am assuming that the critical value is for the appropriate df. If not, then C is the answer.

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