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Let p1 be the proportion of males who spent less than $1,500, and let p2 be the similar proportion for females. You want to test
Let p1 be the proportion of males who spent less than $1,500, and let p2 be the similar proportion for females. You want to test the null hypothesis that p1 minus p2 is equal to 0 versus a two-tailed alternative. Which of the following is true for the test?
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Person | Gender | Married | Age | Children | Salary | Spent |
1 | Male | Yes | 45 | 2 | 77000 | 1540 |
2 | Male | Yes | 43 | 1 | 85300 | 2220 |
3 | Male | Yes | 42 | 2 | 88400 | 1040 |
4 | Male | Yes | 40 | 2 | 100300 | 790 |
5 | Male | Yes | 47 | 1 | 105000 | 2780 |
6 | Female | No | 36 | 0 | 64600 | 740 |
7 | Female | Yes | 65 | 4 | 122700 | 720 |
8 | Female | Yes | 38 | 2 | 60400 | 530 |
9 | Male | Yes | 54 | 5 | 86700 | 1020 |
10 | Male | Yes | 45 | 1 | 114500 | 1660 |
11 | Male | No | 31 | 1 | 102600 | 430 |
12 | Female | No | 50 | 3 | 62000 | 680 |
13 | Male | Yes | 44 | 1 | 110800 | 2230 |
14 | Female | No | 43 | 1 | 61200 | 670 |
15 | Female | Yes | 54 | 3 | 128000 | 510 |
16 | Female | Yes | 44 | 1 | 81500 | 2020 |
17 | Female | Yes | 45 | 2 | 74900 | 730 |
18 | Male | Yes | 57 | 2 | 95700 | 2910 |
19 | Male | Yes | 50 | 1 | 123400 | 2340 |
20 | Female | No | 49 | 1 | 60600 | 1830 |
21 | Female | No | 50 | 2 | 98700 | 620 |
22 | Male | Yes | 34 | 3 | 76100 | 670 |
23 | Female | No | 45 | 1 | 89800 | 660 |
24 | Male | No | 56 | 1 | 82900 | 2120 |
25 | Male | Yes | 46 | 2 | 98500 | 1570 |
26 | Female | No | 33 | 1 | 77000 | 380 |
27 | Male | Yes | 47 | 3 | 93900 | 1180 |
28 | Male | Yes | 38 | 1 | 81200 | 2020 |
29 | Male | Yes | 54 | 2 | 146200 | 1050 |
30 | Male | No | 40 | 1 | 89400 | 850 |
31 | Male | Yes | 60 | 1 | 129700 | 2690 |
32 | Male | Yes | 40 | 0 | 105200 | 2620 |
33 | Male | No | 28 | 1 | 60000 | 390 |
34 | Female | No | 51 | 0 | 95200 | 1950 |
35 | Male | No | 32 | 0 | 82000 | 1390 |
36 | Female | No | 51 | 2 | 95300 | 770 |
37 | Female | Yes | 49 | 3 | 97500 | 610 |
38 | Female | No | 42 | 3 | 67600 | 400 |
39 | Female | Yes | 46 | 2 | 68900 | 1080 |
40 | Male | Yes | 48 | 3 | 126300 | 360 |
41 | Male | Yes | 69 | 3 | 120900 | 4300 |
42 | Female | Yes | 39 | 3 | 64600 | 510 |
43 | Female | Yes | 59 | 3 | 91900 | 1140 |
44 | Male | No | 32 | 1 | 50000 | 1530 |
45 | Female | Yes | 59 | 2 | 77500 | 2210 |
46 | Male | No | 27 | 0 | 72800 | 420 |
47 | Female | Yes | 34 | 1 | 57200 | 1230 |
48 | Female | Yes | 48 | 3 | 48900 | 1230 |
49 | Male | Yes | 52 | 2 | 120700 | 1400 |
50 | Male | Yes | 56 | 1 | 104900 | 3080 |
51 | Female | Yes | 42 | 1 | 86900 | 710 |
52 | Female | No | 43 | 1 | 75500 | 1010 |
53 | Male | Yes | 45 | 1 | 104000 | 1660 |
54 | Female | Yes | 36 | 2 | 49600 | 1390 |
55 | Male | Yes | 36 | 2 | 72500 | 820 |
56 | Male | Yes | 43 | 0 | 124500 | 2930 |
57 | Female | Yes | 58 | 4 | 77100 | 1010 |
58 | Male | Yes | 47 | 3 | 71900 | 1760 |
59 | Male | No | 47 | 1 | 103100 | 1220 |
60 | Male | No | 38 | 1 | 77900 | 550 |
61 | Male | No | 35 | 0 | 86400 | 1990 |
62 | Male | No | 44 | 0 | 130300 | 2950 |
63 | Female | Yes | 44 | 3 | 68800 | 520 |
64 | Male | No | 34 | 1 | 93500 | 1270 |
65 | Male | Yes | 47 | 2 | 105700 | 2200 |
66 | Female | No | 50 | 0 | 75500 | 1880 |
67 | Male | Yes | 53 | 3 | 130900 | 1000 |
68 | Male | No | 34 | 1 | 75900 | 1110 |
69 | Male | Yes | 45 | 0 | 88400 | 3160 |
70 | Male | Yes | 45 | 5 | 59900 | 1210 |
71 | Male | No | 41 | 2 | 65700 | 1420 |
72 | Male | Yes | 47 | 0 | 109800 | 2130 |
73 | Male | No | 53 | 0 | 144400 | 2060 |
74 | Female | No | 54 | 0 | 70700 | 2490 |
75 | Male | No | 47 | 1 | 115100 | 1850 |
76 | Female | No | 64 | 2 | 131600 | 1040 |
77 | Female | Yes | 29 | 6 | 78500 | 110 |
78 | Male | Yes | 45 | 1 | 63200 | 2520 |
79 | Female | Yes | 54 | 4 | 96400 | 930 |
80 | Female | Yes | 51 | 2 | 77300 | 1790 |
81 | Male | No | 38 | 1 | 89100 | 630 |
82 | Female | No | 59 | 1 | 73800 | 2030 |
83 | Male | Yes | 57 | 1 | 109700 | 1800 |
84 | Male | Yes | 58 | 2 | 115600 | 1910 |
85 | Male | No | 57 | 1 | 97600 | 1900 |
86 | Male | Yes | 42 | 3 | 78800 | 1200 |
87 | Male | No | 39 | 1 | 92300 | 900 |
88 | Female | Yes | 46 | 3 | 67100 | 1240 |
89 | Female | No | 41 | 1 | 80500 | 820 |
90 | Female | Yes | 52 | 3 | 72600 | 1010 |
91 | Male | Yes | 51 | 1 | 94100 | 3030 |
92 | Male | No | 49 | 0 | 135900 | 1200 |
93 | Female | Yes | 41 | 1 | 78700 | 1260 |
94 | Female | Yes | 48 | 2 | 102700 | 770 |
95 | Female | No | 51 | 3 | 119500 | 460 |
96 | Male | No | 34 | 1 | 74300 | 840 |
97 | Male | No | 44 | 0 | 103900 | 1910 |
98 | Female | No | 45 | 2 | 87200 | 560 |
99 | Female | Yes | 52 | 3 | 61400 | 1590 |
100 | Male | No | 41 | 2 | 90700 | 1460 |
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