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11. Assuming an alpha level of .05, look up the critical Chi-Squared statistic from Appendix C, Table E. For this example, our degrees of
11. Assuming an alpha level of .05, look up the critical Chi-Squared statistic from Appendix C, Table E. For this example, our degrees of freedom is just the number of categories (two: win vs. loss) minus 1. Thus, we have one degree of freedom. Use the critical x2 to decide whether to reject or retain the null hypothesis. Critical x:. Should we reject or retain the null hypothesis? a) We should reject the null hypothesis; the model does not do an accurate job predicting number of winning scratch of tickets. b) We should retain the null hypothesis; the model accurately predicts the number of winning scratch of tickets. PSY205 | Amanda C. Egan, Ph.D. | Marian University Indianapolis 12. Write a verbal interpretation. Remember, retaining the null hypothesis (Ho) means the model (i.e., the advertised odds ratios from hoosierlottery.com) accurately predicted the number of winning games. Rejecting the null hypothesis means that the model did not accurately predict the number of winning games. If we rejected the null hypothesis, consider whether we won more or less than expected (based on the model) and what that means (e.g., did we have "lucky" or "unlucky" scratch-off tickets).
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