You want to test the null hypothesis that the mean amount spent by males is equal to $1,680 versus a two-tailed alternative. Which of the following is the p-value for the test? (Because of potential roundoff, choose the closest.)

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

a. 0.405

b. 0.190

c. 0.810

d. 0.595

Person	Gender	Married	Age	Children	Salary	Spent
1	Male	No	40	1	107800	1040
2	Male	Yes	41	1	62500	2140
3	Female	Yes	50	3	80000	810
4	Male	Yes	65	3	111400	3370
5	Female	Yes	51	1	100200	1740
6	Male	Yes	39	1	85900	1690
7	Female	No	43	1	110000	340
8	Male	No	57	0	147500	3250
9	Male	No	36	1	105100	630
10	Male	Yes	59	1	78800	3140
11	Female	Yes	41	2	76400	960
12	Male	Yes	63	4	106900	2270
13	Male	No	42	0	98400	1240
14	Female	No	45	1	108300	840
15	Male	No	52	2	90200	1470
16	Female	No	57	0	88200	1430
17	Female	Yes	42	2	68400	1010
18	Male	Yes	39	2	102200	960
19	Male	Yes	44	2	80500	1070
20	Female	No	29	1	65200	370
21	Male	Yes	53	2	89000	2420
22	Male	No	34	1	77600	660
23	Male	Yes	39	3	85000	1750
24	Male	Yes	42	2	83700	2170
25	Male	No	52	0	136700	2200
26	Female	Yes	44	2	75500	570
27	Male	No	40	2	92900	420
28	Male	Yes	46	2	69900	2110
29	Female	No	43	2	67400	530
30	Female	Yes	70	2	116500	2160
31	Male	No	45	1	109800	1050
32	Female	No	68	0	107100	2010
33	Male	No	58	2	121900	1420
34	Female	No	61	0	115700	1990
35	Male	Yes	41	2	90300	1110
36	Male	No	46	1	114800	1020
37	Female	Yes	49	3	72900	1120
38	Male	Yes	44	1	128300	1910
39	Male	No	39	1	115000	730
40	Male	Yes	48	2	90900	2690
41	Male	No	40	0	57200	2530
42	Male	No	44	1	81200	1440
43	Male	Yes	54	3	126000	1490
44	Male	Yes	55	2	126800	3110
45	Male	No	48	1	141500	710
46	Female	Yes	42	2	72800	1100
47	Male	No	60	0	122700	2890
48	Female	Yes	49	3	58400	1270
49	Male	Yes	43	5	71900	720
50	Male	No	63	0	143400	2600
51	Male	Yes	36	4	94800	650
52	Female	Yes	44	2	119000	400
53	Male	Yes	49	0	126600	1320
54	Male	Yes	30	1	81400	2250
55	Female	No	34	1	58100	1130
56	Male	No	37	0	91800	860
57	Female	No	41	0	81200	1830
58	Male	Yes	42	2	94300	1710
59	Male	Yes	38	5	61200	1430
60	Male	Yes	49	0	107300	3180
61	Female	No	53	2	92600	1200
62	Female	No	42	0	61500	3050
63	Female	No	35	0	56300	1140
64	Female	Yes	51	2	62700	1300
65	Female	No	60	2	130400	1140
66	Female	No	35	2	54400	200
67	Female	Yes	56	2	101900	1830
68	Male	Yes	54	3	102000	1580
69	Male	Yes	48	2	79400	2310
70	Female	Yes	52	3	124500	690
71	Male	Yes	37	2	67800	2080
72	Male	Yes	56	1	91100	2650
73	Female	Yes	37	1	73500	1160
74	Female	No	52	0	94100	1540
75	Male	No	55	2	124300	1330
76	Male	Yes	41	4	116400	1380
77	Male	Yes	46	2	92400	1960
78	Female	No	48	0	88800	1400
79	Female	Yes	44	3	87000	690
80	Male	Yes	60	4	115900	1020
81	Female	Yes	55	1	96900	1810
82	Male	Yes	61	1	142900	2320
83	Male	Yes	39	2	72400	950
84	Male	No	46	0	98100	3770
85	Male	No	46	0	118600	1850
86	Male	Yes	35	2	129900	750
87	Male	No	28	0	80500	780
88	Male	Yes	61	1	86100	2970
89	Male	No	50	1	136500	1410
90	Female	No	37	3	88300	300
91	Male	Yes	49	2	101200	1390
92	Female	Yes	55	4	81100	700
93	Male	No	59	5	75800	1180
94	Male	No	34	1	108600	770
95	Male	No	40	0	97600	1100
96	Male	No	41	0	88300	2050
97	Female	Yes	58	0	125700	1950
98	Female	No	46	1	70900	560
99	Male	Yes	47	2	84100	1400
100	Male	No	39	0	85100	1280