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Question
x² = 1.24 and x²cv = 5.99. what is your conclusion? signicant, fail to reject the null hypothesis. cannot be determined from the information given. not signicant, fail to reject the null hypothesis. signicant, reject the null hypothesis. not signicant, reject the null hypothesis.
Step1: Compare the chi - square statistic and the critical value
In hypothesis testing using the chi - square distribution, if \(\chi^{2}<\chi^{2}_{cv}\), the result is not significant. Here, \(\chi^{2}=1.24\) and \(\chi^{2}_{cv} = 5.99\). Since \(1.24<5.99\), the result is not significant.
Step2: Make a decision about the null hypothesis
When the result is not significant, we fail to reject the null hypothesis.
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Not Signicant, Fail to Reject the Null Hypothesis.