A 90% confidence interval for the difference between mean male and female salaries (Male minus Female) has which of the following limits, assuming equal population variances? (Because of potential roundoff, choose the closest.)

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

a. $9,639 to $23,860

b. $7,001 to $26,498

c. $8,251 to $25,248

d. $8,389 to $25,110

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