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Page of 12 0 - ZOOM + INDEPENDENCE scenario. A Psychologist noted that other than exercising, it was also important to have down time, such

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Page of 12 0 - ZOOM + INDEPENDENCE scenario. A Psychologist noted that other than exercising, it was also important to have "down time", such as watching movies. The question was what number of movies are typically watched, and how much that might differ between high-stress and low- stress students. High-Stress students watched 10 comedies, 15 romances, 10 musicals, 15 dramas, and 10 news shows. Low Stress students watched 6 comedies, 5 romances, 10 musicals, 10 dramas, and 9 news shows. Using a = .05 significance level, is the distribution of type of shows watched different for students with high stress levels and low stress students? 13. Create the contingency table and do all needed calculations to get the expected frequency values. Be sure to label the table carefully. Comedy Romance Musical Drama News TOTAL & % High Stress 10 (9.6) Low Stress 6 (6.4) TOTAL Calculate for each cell the "total row frequency divided by the overall total frequency" and multiply by the total column frequency. For example, your first one from each row is given. Do these calculation steps for all cells. (60/100)16 (40/100)16 Finish calculating the expected frequency that goes in each cell in parentheses next to the observed frequency in each. You'll do this by carrying out the calculations for each equation above. The first two expected frequencies are given. (0.6) 16=9.6 (0.4)16=6.4 14. What is the chi-square value for this scenario? (Round calculations to 2 decimal points as you go.) The first calculation is given. Add the rest of the calculations, then carry them out until you end with your x value. 2 _ (10-9.6)2 9.6 15. What is the df for this scenario? 16. What is the critical value?Page of 12 0 - ZOOM + (40/100)16 Finish calculating the expected frequency that goes in each cell in parentheses next to the observed frequency in each. You'll do this by carrying out the calculations for each equation above. The first two expected frequencies are given. (0.6)16=9.6 (0.4)16=6.4 14. What is the chi-square value for this scenario? (Round calculations to 2 decimal points as you go.) The first calculation is given. Add the rest of the calculations, then carry them out until you end with your % value. _(10-9.6)2 9.6 y'= 15. What is the df for this scenario? 16. What is the critical value? 17. Can we reject the null hypothesis? Why or why not? NO, because our obtained values OVERALL are NOT more extreme than the critical value. 18. Based on the results, which one do you see as being the "most surprising" that you would want to look more into as a researcher, and why? For example, what category of show surprised you based on high and low stressed individuals watching them, and why do you think that difference was there? 19. How would you write the results for a research publication

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