12. For his senior psychology project, Deland wants to explore which generation is more honest, Baby Boomers or Millenni

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12. For his senior psychology project, Deland wants to explore which generation is more honest, Baby Boomers or Millenni

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12 For His Senior Psychology Project Deland Wants To Explore Which Generation Is More Honest Baby Boomers Or Millenni 1
12 For His Senior Psychology Project Deland Wants To Explore Which Generation Is More Honest Baby Boomers Or Millenni 1 (22.38 KiB) Viewed 45 times
12 For His Senior Psychology Project Deland Wants To Explore Which Generation Is More Honest Baby Boomers Or Millenni 2
12 For His Senior Psychology Project Deland Wants To Explore Which Generation Is More Honest Baby Boomers Or Millenni 2 (25.57 KiB) Viewed 45 times
12. For his senior psychology project, Deland wants to explore which generation is more honest, Baby Boomers or Millennials. To do this, he leaves a wallet filled with money and identification cards in a local store and hides a video camera to record the results. He repeats the experiment 80 times. Of the 37 Millennials who picked up the wallet, 30 returned it to Deland. Of the 43 Baby Boomers who found the wallet, 29 returned it to him. Construct and interpret a 95% confidence interval for the true difference between the proportions of Baby Boomers and Millennials who will return a lost wallet. [6 pts]

13. A researcher is interested in exploring the relationship between calcium intake and weight loss. Two different groups, each with 25 dieters, are chosen for the study. Group A is required to follow a specific diet and exercise regimen, and also take a 500-mg supplement of calcium each day. Group B is required to follow the same diet and exercise regimen, but with no supplemental calcium. After six months on the program, the members of Group A had lost a mean of 12.8 pounds with a standard deviation of 2.3 pounds. The members of Group B had lost a mean of 10.7 pounds with a standard deviation 2.0 pounds during the same time period. Assume that the population variances are not the same. Create and interpret a 90% confidence interval to estimate the true difference between the mean amounts of weight lost by dieters who supplement with calcium and those who do not. [6 pts]
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