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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 -

    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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