PLEASE ANSWER STEPS D & E

People procrastinate when it comes to an unpleasant chore, but consumers often put off a good experience, too. Researchers gave coupons for either one or two free movie tickets to 120 students. Sixty coupons expired within a month, and 60 expired within 3 months. Students were randomized to have 4 samples of 30 for each combination of 1 or 2 tickets and 1 or 3 months. At the end of 3 months, theatres reported which coupons had been used in the accompanying data table. Complete parts (a) through (e). Click on the icon to view the data table. Click on the icon to view the table of critical values of q for x/2 = 0.025. CH (a) Which group used the most coupons? The least? The group used the most coupons, and the group used the least coupons. (b) Are these samples large enough to use for two-sample comparison? O A. No, because all groups have numbers of "successes" and "failures" greater than or equal to 10. O B. Yes, because not all groups have numbers of "successes" and "failures" greater than or equal to 10. O C. No, because not all groups have numbers of "successes" and "failures" greater than or equal to 10. O D. Yes, because all groups have numbers of "successes" and "failures" greater than or equal to 10. (c) Assuming the samples are large enough to satisfy the necessary conditions, fit and interpret the regression of use on the assigned group. Note that in this equation 1 month/1 ticket is a dummy variable that is valued 1 if the observation belongs to this group and 0 otherwise. The dummy variables 1 month/2 tickets and 3 months/1 ticket, are defined similarly. Estimate Term Intercept 1 month/1 ticket 1 month/2 tickets 3 months/1 ticket (Round to three decimal places as needed.) Interpret the regression results. The regression equation indicates that% of those in the baseline group, 3 months/2 tickets, used the coupon;% of those in the group 1 month/1 ticket used the coupon;% of those in the group 1 month/2 tickets used the coupon; and% of those in the group 3 months/1 ticket used the coupon. (Round to one decimal place as needed.) (d) Are any of the differences among the four groups statistically significant? Construct Tukey confidence intervals for the differences between two means, using a = 0.05. 1 month/2 tickets - 1 month/1 ticket: to 3 months/1 ticket - 1 month/1 ticket: to 3 months/2 tickets - 1 month/1 ticket: to 3 months/1 ticket - 1 month/2 tickets: to 3 months/2 tickets - 1 month/2 tickets: to 3 months/1 ticket - 1 month/2 tickets: to 3 months/2 tickets - 1 month/2 tickets: to 3 months/2 tickets - 3 months/1 ticket: to (Round to two decimal places as needed.) Which groups have statistically significant mean differences? Select all that apply. A. 1 month/1 ticket and 1 month/2 tickets B. 1 month/1 ticket and 3 months/1 ticket C. 1 month/1 ticket and 3 months/2 tickets D. 1 month/2 tickets and 3 months/1 ticket E. 1 month/2 tickets and 3 months/2 tickets F. 3 months/1 ticket and 3 months/2 tickets (e) Interpret the results of this analysis for retailers using coupons. O A. The experiment shows that a short time frame with a more desirable product has higher redemption than a long time frame with a less desirable product. B. The experiment shows that a long time frame with a more desirable product has higher redemption than a short time frame with a less desirable product. C. The experiment shows that a long time frame with a less desirable product has higher redemption than a short time frame with a more desirable product. D. The experiment shows that a short time frame with a less desirable product has higher redemption than a long time frame with a more desirable product. 000 0 0 2 3 2 4.299 4.179 3 2.776 3.068 4 2.447 2.792 5 2.306 2.668 6 2.228 2.597 7 2.179 2.552 8 2.145 2.521 9 2.120 2.497 10 2.101 2.479 2.024 2.406 2.627 2.002 2.384 2.607 1.984 2.368 2.591 1.972 2.356 2.580 1.961 2.345 2.570 9.025,n,J Number of Groups (J) 5 10 4.071 4.012 3.959 3.202 3.291 3.541 2.969 3.088 3.411 2.861 2.992 3.348 2.799 2.937 3.310 2.759 2.901 3.285 2.730 2.875 3.268 2.709 2.856 3.255 2.693 2.841 3.244 2.781 3.202 2.762 3.189 2.748 3.178 2.738 3.171 2.729 3.164 20 30 50 100 1,000 20 4.040 3.788 3.706 3.665 3.641 3.625 3.613 3.604 3.598 3.569 3.560 3.554 3.549 3.544 1 Time Period 2 1_month 3 1_month 4 1_month 5 1_month 6 1_month 7 1_month 8 1_month 9 1_month 10 1_month 11 1_month 12 1_month 13 1_month 14 1_month 15 1_month 16 1_month 17 1_month 18 1_month 19 1_month 20 1_month 21 1_month 22 1_month 23 1_month 24 1_month 25 1_month 26 1_month 27 1_month 28 1_month 29 1_month 30 1_month 31 1_month 32 1_month 00 Tickets 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 2_tickets Use? Group 11_month/1_ticket 1 1_month/1_ticket 1 1_month/1_ticket 11_month/1_ticket 1 1_month/1_ticket 1 1_month/1_ticket 1 1_month/1_ticket 11_month/1_ticket 11_month/1_ticket 1 1_month/1_ticket 11_month/1_ticket 11_month/1_ticket 1 1_month/1_ticket 11_month/1_ticket 01_month/1_ticket 0 1 month/1_ticket 01_month/1_ticket 01_month/1_ticket 0 1 month/1_ticket 0 1 month/1_ticket 01_month/1_ticket 01_month/1_ticket 01_month/1_ticket 01_month/1_ticket 0 1_month/1_ticket 01_month/1_ticket 01_month/1_ticket 01_month/1_ticket 01_month/1_ticket 01_month/1_ticket 1 1_month/2_tickets 33 1_month 34 1_month 35 1_month 36 1_month 37 1_month 38 1_month 39 1_month 40 1_month 41 1_month 42 1_month 43 1_month 44 1_month 45 1_month 46 1_month 47 1_month 48 1_month 49 1_month 50 1_month 51 1_month 52 1_month 53 1_month 54 1_month 55 1_month 56 1_month 57 1_month 58 1_month 59 1_month 60 1_month 61 1_month 62 3_months 63 3_months 64 3_months - 88 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 1_ticket 1_ticket 1_ticket 11_month/2_tickets 1 1_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 01_month/2_tickets 01_month/2_tickets 01_month/2_tickets 01_month/2_tickets 01_month/2_tickets 11_month/2_tickets 11_month/2_tickets 11_month/2_tickets 13_months/1_ticket 13_months/1_ticket 13_months/1_ticket 65 3_months 66 3_months 67 3_months 68 3_months 69 3_months 70 3_months 71 3_months 72 3_months 73 3_months 74 3_months 75 3_months 3_months 77 3_months 78 3_months 79 3_months 80 3_months 81 3_months 82 3_months 83 3_months 84 3_months 85 3_months 86 3_months 87 3_months 88 3_months 89 3_months 90 3_months 91 3_months 92 3_months 93 3_months 94 3_months 95 3_months 96 3_months RBR 76 888898 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 1_ticket 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 1 3_months/1_ticket 13_months/1_ticket 13_months/1_ticket 13_months/1_ticket 13_months/1_ticket 13_months/1_ticket 1 3_months/1_ticket 13_months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3_months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 0 3 months/1_ticket 03_months/1_ticket 0 3 months/1_ticket 03_months/1_ticket 0 3 months/1_ticket 13_months/2_tickets 13_months/2_tickets 13_months/2_tickets 1 3_months/2_tickets 13_months/2_tickets 97 3_months 98 3_months 99 3_months 100 3 months 101 3 months 102 3_months 103 3 months 104 3 months 105 3 months 106 3 months 107 3 months 108 3 months 109 3 months 110 3 months 111 3 months 112 3 months 113 3 months 114 3 months 115 3 months 116 3 months 117 3 months 118 3 months 119 3_months 120 3_months 121 3_months 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 2_tickets 1 3 months/2_tickets 1 3 months/2_tickets 1 3 months/2_tickets 1 3 months/2_tickets 1 3 months/2_tickets 1 3 months/2_tickets 0 3 months/2_tickets 1 3_months/2_tickets 0 3 months/2_tickets 1 3 months/2_tickets 0 3 months/2_tickets 0 3 months/2_tickets 0 3_months/2_tickets 0 3 months/2_tickets 03_months/2_tickets 0 3 months/2_tickets 03_months/2_tickets 0 3 months/2_tickets 03_months/2_tickets 0 3 months/2_tickets 0 3_months/2_tickets 03_months/2_tickets 0 3 months/2_tickets 0 3 months/2_tickets 0 3 months/2_tickets