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I know the answer is c but can someone explain why? A researcher is conducting a chi-square test for goodness of fit to evaluate preferences

I know the answer is c but can someone explain why?

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A researcher is conducting a chi-square test for goodness of fit to evaluate preferences among three different designs for a new automobile. With a sample of n = 30 the researcher obtains a chi-square statistic of X12 = 4.31. What is the appropriate statistical decision for this outcome? Reject the null hypothesis with are = .115 but not with 01:1 = .01. Reject the null hypothesis with either at: = .EIS or u = .01. Fail to reject the null hypothesis with either u = .05 or u = .01. There is not enough information to determine the appropriate decision

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