How do you interpret ?_((3))^2 = 18.9, p < .05?
What will be an ideal response?
Ans: ?^2 represents the test statistic (chi-square); 3 is the number of degrees of freedom; 18.9 is the obtained value of chi-square; p < .05 indicates that the probability is less than 5% on any one test of the null hypothesis that the frequency of votes is equally distributed across all categories. Since we defined .05 as the criterion for the research hypothesis being more attractive than the null hypothesis, our conclusion is that there is a significant difference between the two sets of scores.
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