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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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a. The null can be rejected at the 1% level.
b. The null cannot be rejected at the 10% level.
c. The null can be rejected at the 10% level but not at the 5% level.

d. The null can be rejected at the 5% level but not at the 1% level.
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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