A 95% confidence interval for the proportion of all people who spent more than $1600 has which of the following limits? (Because of potential roundoff, choose the closest.)

Click here to reference the data needed to answer the question.

a. 0.378 to 0.542

b. 0.442 to 0.638

c. 0.348 to 0.572

d. 0.362 to 0.558

Person Gender Married Age Children Salary Spent Male No 28 48600 750 Male Yes 35 2 75500 1980 Female No N 58900 1820 Female Yes 53 92200 990 Female No 49 1 100700 1990 Male Yes 57 1 128900 1900 Female Yes 53 1 84900 1000 Female No 34 IN 52500 2470 9 Male Yes 55 3 142700 2400 10 Male No 33 92300 2460 11 Female Yes 46 0 63700 440 12 Male Yes 1 114600 2330 13 Male No 30 60900 1800 W H 14 Male Yes 70300 2010 15 Male Yes 0 149300 1860 Female No 41 0 75100 2180 17 36 1020 Male 1 71500 18 N Male les 44 86900 850 19 Male Yes 48 1 124600 1500 20 Male Yes 41 1 92600 1220 21 Female Yes 45 0 69600 1730 22 Male No 45 0 114300 2540 23 Female No 39 1 64100 1390 24 Male No 36 0 107900 2460 25 Male Yes 42 2 68200 680 26 Male No 39 1 8470 1360 27 Female No w 76000 1510 28 Male No 119600 2260 IN 29 Male Yes 38 70400 730 30 Male Yes 46 3 118300 2050 31 Male Yes 53 1 126900 1510 32 Male les 51 1 121200 1270 33 Male Yes 56 0 154700 367 34 Female Yes 52 64900 330 35 Male No 29 INNN 54300 1060 36 Female No 51500 1560 37 Female Yes 56 5 70200 320 38 Male 46 2 122000 3200 39 Male Yes 52 1 90400 910 40 Male No 51 3 94700 880 41 Male No 31 1 92900 3950 42 Female Yes 58 2 125300 2530 43 Female No 44 0 60200 570 44 Male Yes 61 2 140500 1120 45 Male Yes 55 0 118600 800 46 Female No 40 3 57700 1130 47 Male Yes 36 IN 60300 960 18 Male No 52 110100 1360 19 Male Yes 43 95200 1690 50 Male Yes 50 1 137600 4060 51 Female No 1 115300 2760 52 Female Yes 3 67800 770 53 Male No 46 1 108100 1700 54 Male Yes 43 1 93700 2250 55 Male Yes 56 2 138500 2680 2510 56 Male No 44 0 127100 57 Female Yes 55 3 75800 810 58 Male No 45 0 109900 1810 59 Male No 37 0 59600 520 60 Male Yes 54 1 127200 2560 61 Male No 63 1 129800 1480 62 Male No 0 100000 1860 63 Female No 49 79000 2070 64 Female Yes 49 1 82200 1130 65 Male Yes 39 81500 2170 66 Male Yes 48 0 8510 1040 Male No 37 78100 1130 19 68 Male No 35 98600 2760 NO 69 Female No 38 64800 1050 70 Male Yes 44 1 111400 2370 71 Female No 47 1 81700 1520 72 Male Yes 69 2 135000 1010 w 73 Male Yes 48 98000 830 74 Male Yes 62 0 142300 1570 75 Male Yes 43 1 81400 930 76 Female Yes 52 3 6920 150 Yes 2060 77 Male 57 2 125900 78 910 Male Yes 54 1 126000 79 Male Yes 45 1 101500 1160 30 Male Yes 39 0 98900 2830 81 Female No 1 74200 2680 82 Male No 47 2 8660 820 83 Male Yes 60 1 141800 1670 84 Male No 29 0 86000 3620 35 Male Yes 42 2 125500 3530 2 8360 1030 36 Female No 47 87 Male Yes 56 112800 1540 38 Male No 44 101000 1730 39 Male No 49 95000 960 90 Male Yes 63 133000 2080 Male No 27 91 3 77800 1460 92 Male Yes 42 84800 730 NN 93 Male No 47 99500 1530 34 Female No 49 0 65200 980 Female Yes 45 60100 390 W Male NO 33 80400 1660 97 Yes 48 w Male 84300 880 98 Male Yes 39 93000 2030 Male No 36 97900 3190 100 Male Yes 58100 120Person Gender Married Age Children Salary Spent Male No 28 48600 750 Male Yes 35 2 75500 1980 Female No N 58900 1820 Female Yes 53 92200 990 Female No 49 1 100700 1990 Male Yes 57 1 128900 1900 Female Yes 53 1 84900 1000 Female No 34 IN 52500 2470 9 Male Yes 55 3 142700 2400 10 Male No 33 92300 2460 11 Female Yes 46 0 63700 440 12 Male Yes 1 114600 2330 13 Male No 30 60900 1800 W H 14 Male Yes 70300 2010 15 Male Yes 0 149300 1860 Female No 41 0 75100 2180 17 36 1020 Male 1 71500 18 N Male les 44 86900 850 19 Male Yes 48 1 124600 1500 20 Male Yes 41 1 92600 1220 21 Female Yes 45 0 69600 1730 22 Male No 45 0 114300 2540 23 Female No 39 1 64100 1390 24 Male No 36 0 107900 2460 25 Male Yes 42 2 68200 680 26 Male No 39 1 8470 1360 27 Female No w 76000 1510 28 Male No 119600 2260 IN 29 Male Yes 38 70400 730 30 Male Yes 46 3 118300 2050 31 Male Yes 53 1 126900 1510 32 Male les 51 1 121200 1270 33 Male Yes 56 0 154700 367 34 Female Yes 52 64900 330 35 Male No 29 INNN 54300 1060 36 Female No 51500 1560 37 Female Yes 56 5 70200 320 38 Male 46 2 122000 3200 39 Male Yes 52 1 90400 910 40 Male No 51 3 94700 880 41 Male No 31 1 92900 3950 42 Female Yes 58 2 125300 2530 43 Female No 44 0 60200 570 44 Male Yes 61 2 140500 1120 45 Male Yes 55 0 118600 800 46 Female No 40 3 57700 1130 47 Male Yes 36 IN 60300 960 18 Male No 52 110100 1360 19 Male Yes 43 95200 1690 50 Male Yes 50 1 137600 4060 51 Female No 1 115300 2760 52 Female Yes 3 67800 770 53 Male No 46 1 108100 1700 54 Male Yes 43 1 93700 2250 55 Male Yes 56 2 138500 2680 2510 56 Male No 44 0 127100 57 Female Yes 55 3 75800 810 58 Male No 45 0 109900 1810 59 Male No 37 0 59600 520 60 Male Yes 54 1 127200 2560 61 Male No 63 1 129800 1480 62 Male No 0 100000 1860 63 Female No 49 79000 2070 64 Female Yes 49 1 82200 1130 65 Male Yes 39 81500 2170 66 Male Yes 48 0 8510 1040 Male No 37 78100 1130 19 68 Male No 35 98600 2760 NO 69 Female No 38 64800 1050 70 Male Yes 44 1 111400 2370 71 Female No 47 1 81700 1520 72 Male Yes 69 2 135000 1010 w 73 Male Yes 48 98000 830 74 Male Yes 62 0 142300 1570 75 Male Yes 43 1 81400 930 76 Female Yes 52 3 6920 150 Yes 2060 77 Male 57 2 125900 78 910 Male Yes 54 1 126000 79 Male Yes 45 1 101500 1160 30 Male Yes 39 0 98900 2830 81 Female No 1 74200 2680 82 Male No 47 2 8660 820 83 Male Yes 60 1 141800 1670 84 Male No 29 0 86000 3620 35 Male Yes 42 2 125500 3530 2 8360 1030 36 Female No 47 87 Male Yes 56 112800 1540 38 Male No 44 101000 1730 39 Male No 49 95000 960 90 Male Yes 63 133000 2080 Male No 27 91 3 77800 1460 92 Male Yes 42 84800 730 NN 93 Male No 47 99500 1530 34 Female No 49 0 65200 980 Female Yes 45 60100 390 W Male NO 33 80400 1660 97 Yes 48 w Male 84300 880 98 Male Yes 39 93000 2030 Male No 36 97900 3190 100 Male Yes 58100 120