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    Chi-Squared Contingency for Test Statistics

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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,
    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

    © BrainMass Inc. brainmass.com June 3, 2020, 10:01 pm ad1c9bdddf
    https://brainmass.com/statistics/chi-squared-test/chi-squared-contingency-test-statistics-211255

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    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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