The data set in the accompanying table contains last month's credit card purchases of 100 customers randomly chosen from a segment of a major credit issuer. The marketing department is considering a special offer for customers who spend more than $1000 per month on their card. From these data construct a 90% confidence interval for the proportion of customers in this segment who will qualify. 744.41 1113.93 36.17 54.76 85.03 144.77 17.54 726.66 1095.24 918.98 1115.01 1092.97 93.07 275.56 299.45 128.28 256.38 936.92 52.52 74.42 960.63 51.17 73.18 578.12 880.41 1056.88 108.95 93.99 289.25 764.74 226.09 281.57 553.32 15.62 170.28 52.72 149.29 433.37 103.34 423.42 218.73 58.32 839.78 617.64 1126.65 238.43 355.38 93.83 37.65 385.63 64.54 5.38 612.41 88.07 58.78 59.43 128.59 1172.72 1139.69 992.72 812.19 395.35 439.97 248.28 213.85 241.67 61.14 24.59 40.14 53.01 47.99 62.16 51.34 22.96 523.01 801.33 217.85 60.69 632.01 30.29 85.44 1093.45 1141.76 476.85 90.18 1127.77 68.55 608.88 51.64 298.38 405.19 25.26 352.93 478.54 35.74 76.76 22.93 49.95 61.11 1005.65 Select the correct choice below and fill in any answer boxes within your choice. A.) The 90% confidence in (_% , _%) (round to one decimal place as needed) B.) The conditions of a confidence interval are not satisfied