Let P_m be the population proportion of all males who spent at least $1,500, and let p_f be the similar proportion for females. A 90% confidence interval for the difference p_m minus p_f has which of the following limits?

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