The lower and upper limits of a 95% confidence interval for mean Spent for the subpopulation of people who have at least 1 child are which of the following? (Because of potential roundoff, choose the closest.)

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

a. $964 to $1,368

b. $1,240 to $1,638

c. $1,272 to $1,605

d. $924 to $1,408

Person Gender Married Age Children Salary Spent Male Yes 35 78900 1610 Male Yes 1 114100 1960 Male Yes N 84800 1470 Female Yes 51 2 87500 1210 Male Yes 39 2 85600 1320 Male Yes 3 112800 310 1070 Male Yes 1 37300 Male Yes 36 73800 2080 Female Yes 47 3 68500 900 10 Male Yes 50 1 110200 1950 11 Male No 0 103700 480 12 Yes 64 136100 1210 Male 1 O 13 Male Yes 82600 2590 14 Male Yes 3 131700 1240 32 Female No 1 83000 4070 16 1590 Male Yes 1 123100 17 Male les 59 3 120900 1440 18 Male les 38500 330 30 19 Female Yes 35 50300 960 Male Yes 44 3 90800 1380 20 21 Male Yes 54 0 83100 590 22 Female No 34 1 50600 940 23 Male Yes 53 0 125600 1570 24 Male Yes 45 1 104500 1440 25 Male No 47 1 86900 1040 26 Male Yes 52 3 105900 470 27 Yes 0 103600 1660 Male 28 Female Yes 55 98300 920 N 29 Male Yes 54 109700 1740 30 Male No 46 0 88800 1130 31 Male Yes 0 141700 1560 32 Female No 43 69200 590 33 Male Yes 52 ONE 132700 2800 34 Female No 41 56600 1730 Male Yes 60 3 81000 180 36 Male Yes 1 122700 3120 37 IN 990 Male Yes 34 82100 38 Male les 47 95200 930 39 Male No 47 118100 2460 40 Female No 47 0 84600 1680 41 Male No 41 0 79700 1110 42 Male Yes 58 3 114600 1070 43 Female Yes 46 2 68300 490 44 Female No 51 0 89500 1730 45 Female Yes 52 2 73400 440 46 Male Yes 59 NI 87400 420 47 Male No 41 90700 1820 48 Female No 43 89000 2170 W H 49 Female Yes 63 79900 550 50 Male No 43 0 111200 3000 51 Female Yes 1 97600 870 52 Female No 42 67200 1050 N NN 53 Female No 52 103300 140 54 Male Yes 36 75200 1080 55 Male Yes 46 3 102200 1950 56 Male No 33 1 100400 3300 57 Male ves 64 0 147000 2350 58 Female No 30 0 51600 780 59 Male les 39 IN 99900 1920 60 Male No 31 77700 1620 61 Male Yes 40 1 116300 1370 62 No 1 90100 3430 Male 29 63 Female No 59 93000 710 64 Male Yes 52 0 83600 480 65 Male Yes 47 3 111500 1060 66 Female Yes 45 1 96600 2750 67 Male Yes 46 67900 200 68 Vale No 56 0 114500 1630 69 Male Yes 57 4 130800 1770 70 Male Yes 52 104800 1220 71 No 30 Female 1 60600 1150 w 72 Male Yes 58 127000 2020 73 Male Yes 38 87000 2540 Male Yes 55 WNE 74 124700 1940 75 Female No 38 51600 640 76 Male les 57 2 129400 2120 No 0 76700 2620 77 Male 29 78 Male les 2 126500 3080 79 Female Yes 3 85200 470 80 Male Yes 2 93800 180 81 Female No 57 2 81900 550 82 Female No 33 0 52100 950 83 Female Yes 32 4 50900 810 84 Male Yes 62 2 113700 320 35 Female Yes 63 3 87400 680 Male Yes 44 2160 W 86 96800 87 Vale Yes 35 146100 2740 38 Female Yes 41 61900 880 39 Male Yes 44 101000 2290 90 Female Yes 92900 1320 91 Female No 0 64800 1480 92 Male Yes 60 0 149100 1780 93 Male Yes 49 78600 680 94 Female Yes 45 80700 2030 95 Male Yes 49 2 111400 1960 52 96 Female No 95300 1420 97 Male Yes 53 144500 3270 98 Male Yes 51 0 115500 2100 Male Yes 42 IN 89900 1970 100 Male Yes 98400 650Person Gender Married Age Children Salary Spent Male Yes 35 78900 1610 Male Yes 1 114100 1960 Male Yes N 84800 1470 Female Yes 51 2 87500 1210 Male Yes 39 2 85600 1320 Male Yes 3 112800 310 1070 Male Yes 1 37300 Male Yes 36 73800 2080 Female Yes 47 3 68500 900 10 Male Yes 50 1 110200 1950 11 Male No 0 103700 480 12 Yes 64 136100 1210 Male 1 O 13 Male Yes 82600 2590 14 Male Yes 3 131700 1240 32 Female No 1 83000 4070 16 1590 Male Yes 1 123100 17 Male les 59 3 120900 1440 18 Male les 38500 330 30 19 Female Yes 35 50300 960 Male Yes 44 3 90800 1380 20 21 Male Yes 54 0 83100 590 22 Female No 34 1 50600 940 23 Male Yes 53 0 125600 1570 24 Male Yes 45 1 104500 1440 25 Male No 47 1 86900 1040 26 Male Yes 52 3 105900 470 27 Yes 0 103600 1660 Male 28 Female Yes 55 98300 920 N 29 Male Yes 54 109700 1740 30 Male No 46 0 88800 1130 31 Male Yes 0 141700 1560 32 Female No 43 69200 590 33 Male Yes 52 ONE 132700 2800 34 Female No 41 56600 1730 Male Yes 60 3 81000 180 36 Male Yes 1 122700 3120 37 IN 990 Male Yes 34 82100 38 Male les 47 95200 930 39 Male No 47 118100 2460 40 Female No 47 0 84600 1680 41 Male No 41 0 79700 1110 42 Male Yes 58 3 114600 1070 43 Female Yes 46 2 68300 490 44 Female No 51 0 89500 1730 45 Female Yes 52 2 73400 440 46 Male Yes 59 NI 87400 420 47 Male No 41 90700 1820 48 Female No 43 89000 2170 W H 49 Female Yes 63 79900 550 50 Male No 43 0 111200 3000 51 Female Yes 1 97600 870 52 Female No 42 67200 1050 N NN 53 Female No 52 103300 140 54 Male Yes 36 75200 1080 55 Male Yes 46 3 102200 1950 56 Male No 33 1 100400 3300 57 Male ves 64 0 147000 2350 58 Female No 30 0 51600 780 59 Male les 39 IN 99900 1920 60 Male No 31 77700 1620 61 Male Yes 40 1 116300 1370 62 No 1 90100 3430 Male 29 63 Female No 59 93000 710 64 Male Yes 52 0 83600 480 65 Male Yes 47 3 111500 1060 66 Female Yes 45 1 96600 2750 67 Male Yes 46 67900 200 68 Vale No 56 0 114500 1630 69 Male Yes 57 4 130800 1770 70 Male Yes 52 104800 1220 71 No 30 Female 1 60600 1150 w 72 Male Yes 58 127000 2020 73 Male Yes 38 87000 2540 Male Yes 55 WNE 74 124700 1940 75 Female No 38 51600 640 76 Male les 57 2 129400 2120 No 0 76700 2620 77 Male 29 78 Male les 2 126500 3080 79 Female Yes 3 85200 470 80 Male Yes 2 93800 180 81 Female No 57 2 81900 550 82 Female No 33 0 52100 950 83 Female Yes 32 4 50900 810 84 Male Yes 62 2 113700 320 35 Female Yes 63 3 87400 680 Male Yes 44 2160 W 86 96800 87 Vale Yes 35 146100 2740 38 Female Yes 41 61900 880 39 Male Yes 44 101000 2290 90 Female Yes 92900 1320 91 Female No 0 64800 1480 92 Male Yes 60 0 149100 1780 93 Male Yes 49 78600 680 94 Female Yes 45 80700 2030 95 Male Yes 49 2 111400 1960 52 96 Female No 95300 1420 97 Male Yes 53 144500 3270 98 Male Yes 51 0 115500 2100 Male Yes 42 IN 89900 1970 100 Male Yes 98400 650