# Chi-Squared Contingency for Test Statistics

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,

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 decreased the level of significance in order to reject the null hypothesis

https://brainmass.com/statistics/chi-squared-test/chi-squared-contingency-test-statistics-211255

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Answer

a. we fail to reject the null hypothesis at Alpha = ...

#### Solution Summary

The solution creates a chi square test for a contingency table. The solution determines if the null hypothesis should be rejected or accepted.

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