Let p be the population proportion of males who spent less than $2,000. You want to test the null hypothesis that p is greater than of equal to 0.75 versus a onetailed alternative. Which of the following is true? Click here to reference the data needed to answer the question. a. The null can be rejected at the 5% level but not at the 1% level. b. The null can be rejected at the 1% level. c. The null can be rejected at the 10% level but not at the 5% level. d. The null cannot be rejected at the 10% level. 0 A B C D E F G Person Gender Married Age Children Salary Spent Male Yes 45 2 77000 1540 Male Yes 43 85300 2220 Male Yes 42 2 88400 1040 6 0O V O UT A W N H VOUAWNG Male Yes 40 2 100300 790 Male Yes 47 1 105000 2780 Female No 36 0 64600 740 Female Yes 65 4 122700 720 8 Female Yes 38 N 60400 530 10 9 Male Yes 54 86700 1020 11 10 Male Yes 45 114500 1660 12 11 Male No 31 102600 430 13 12 Female No 50 W 62000 680 14 13 Male Yes 44 1 110800 2230 15 14 Female No 43 61200 670 16 15 Female Yes 54 3 128000 510 17 16 Female Yes 44 81500 2020 18 17 Female Yes 45 2 74900 730 19 18 Male Yes 57 2 95700 2910 20 19 Male Yes 50 1 123400 2340 21 20 Female No 49 60600 1830 22 21 Female No 50 2 98700 620 23 22 Male Yes 34 3 76100 670A B C D E F G 24 23 Female No 45 89800 660 25 24 Male No 56 82900 2120 26 25 Male Yes 46 2 98500 1570 27 26 Female No 33 77000 380 28 27 Male Yes 47 3 93900 1180 29 28 Male Yes 38 81200 2020 30 29 Male Yes 54 2 146200 1050 31 30 Male No 40 89400 850 32 31 Male Yes 60 1 129700 2690 33 32 Male Yes 40 0 105200 2620 34 33 Male No 28 60000 390 35 34 Female No 51 0 95200 1950 36 35 Male No 32 0 82000 1390 37 36 Female No 51 95300 770 38 37 Female Yes 49 97500 610 39 38 Female No 42 67600 400 40 39 W W N W W N Female Yes 46 68900 1080 41 40 Male Yes 48 126300 360 42 41 Male Yes 69 120900 4300 43 42 Female Yes 39 3 64600 510 44 43 Female Yes 59 91900 1140 45 44 Male No 32 50000 1530 46 45 Female Yes 59 2 77500 2210A B C D E F G 47 46 Male No 27 O 72800 420 48 47 Female Yes 34 57200 1230 W H 49 48 Female Yes 48 48900 1230 50 49 Male Yes 52 2 120700 1400 51 50 Male Yes 56 104900 3080 H H 52 51 Female Yes 42 86900 710 53 52 Female No 43 75500 1010 54 53 Male Yes 45 1 104000 1660 55 54 Female Yes 36 N 49600 1390 56 55 Male Yes 36 N 72500 820 57 56 Male Yes 43 0 124500 2930 58 57 Female Yes 58 4 77100 1010 59 58 Male Yes 47 3 71900 1760 60 59 Male No 47 103100 1220 61 60 Male No 38 77900 550 62 61 Male No 35 0 86400 1990 63 62 Male No 44 0 130300 2950 64 63 Female Yes 44 3 68800 520 65 64 Male No 34 1 93500 1270 66 65 Male Yes 47 2 105700 2200 67 66 Female No 50 O 75500 1880 68 67 Male Yes 53 3 130900 1000 69 68 Male No 34 1 75900 111070 69 Male Yes 45 88400 3160 71 70 Male Yes 45 59900 1210 ONUO 72 71 Male No 41 65700 1420 73 72 Male Yes 47 109800 2130 74 73 Male No 53 0 144400 2060 75 74 Female No 54 0 70700 2490 76 75 Male No 47 1 115100 1850 77 76 Female No 64 2 131600 1040 78 77 Female Yes 29 6 78500 110 79 78 Male Yes 45 63200 2520 80 79 Female Yes 54 96400 930 81 80 Female Yes 51 N 77300 1790 82 81 Male No 38 1 89100 630 83 82 Female No 59 73800 2030 84 83 Male Yes 57 1 109700 1800 85 84 Male Yes 58 2 115600 1910 86 85 Male No 57 1 97600 1900 87 86 Male Yes 42 3 78800 1200 88 87 Male No 39 92300 900 89 88 Female Yes 46 3 67100 1240 90 89 Female No 41 1 80500 820 91 90 Female Yes 52 3 72600 1010 92 91 Male Yes 51 1 94100 303093 92 Male No 49 O 135900 1200 94 93 Female Yes 41 78700 1260 95 94 Female Yes 48 2 102700 770 96 95 Female No 51 3 119500 460 97 96 Male No 34 H 74300 840 98 97 Male No 44 103900 1910 99 98 Female No 45 2 87200 560 99 Female Yes 52 W 61400 1590 100 Male No 41 2 90700 1460