You want to test the null hypothesis that the mean amount spent is greater than or equal to $1,450 versus a one-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. 0.359

b. 0.679

c. 0.320

d. 0.641

Person	Gender	Married	Age	Children	Salary	Spent
1	Male	Yes	41	1	107600	1900
2	Female	Yes	48	1	57400	1580
3	Male	Yes	55	2	137200	1200
4	Female	Yes	37	3	86500	400
5	Male	Yes	41	3	81000	880
6	Male	Yes	58	2	88000	3310
7	Male	Yes	54	1	124600	1560
8	Male	Yes	48	1	147200	1360
9	Female	No	42	1	60200	1240
10	Female	Yes	41	3	76800	430
11	Male	No	38	1	116000	580
12	Male	No	39	1	112600	1650
13	Male	No	40	0	82600	1220
14	Male	No	39	2	92400	1080
15	Female	Yes	60	1	110600	1980
16	Male	Yes	45	2	76700	1700
17	Male	Yes	46	2	120100	800
18	Female	Yes	43	1	89100	980
19	Male	Yes	39	1	92000	2090
20	Female	Yes	63	2	125700	1700
21	Male	No	54	1	100100	1610
22	Female	Yes	56	5	95900	850
23	Female	No	42	1	58500	1840
24	Female	Yes	52	3	97300	910
25	Female	Yes	37	1	75400	1260
26	Male	Yes	61	3	126400	2920
27	Male	Yes	53	1	120200	2530
28	Female	No	56	0	132000	830
29	Male	No	32	0	85900	980
30	Female	No	45	1	117400	760
31	Female	Yes	53	3	99200	700
32	Female	Yes	55	2	55500	2770
33	Female	Yes	53	4	82200	590
34	Male	No	46	1	95300	1340
35	Male	Yes	35	1	107300	1220
36	Male	No	30	2	83200	650
37	Male	Yes	33	3	84800	880
38	Male	Yes	46	1	64200	2060
39	Female	Yes	63	3	96400	1790
40	Male	No	39	1	83600	960
41	Male	Yes	46	1	64600	3110
42	Male	Yes	41	4	95400	570
43	Female	No	51	0	119600	800
44	Male	Yes	41	1	88200	2210
45	Male	Yes	40	1	72600	1550
46	Female	No	51	1	86800	1250
47	Male	No	31	0	63700	2040
48	Male	No	44	1	110500	1030
49	Female	No	37	1	57700	490
50	Male	No	59	1	114200	1790
51	Male	No	42	1	57900	2050
52	Male	No	60	1	139100	1110
53	Male	Yes	60	2	99000	2350
54	Male	No	51	1	100400	1630
55	Male	Yes	39	3	55800	1180
56	Male	No	39	1	97500	800
57	Female	Yes	51	5	59200	510
58	Female	Yes	55	2	134200	590
59	Female	No	45	1	58900	1740
60	Female	No	37	1	61500	1020
61	Male	No	49	2	123500	590
62	Male	Yes	31	1	81500	1540
63	Male	Yes	45	1	105300	2300
64	Female	No	46	2	87600	300
65	Female	No	40	1	79800	700
66	Male	Yes	45	0	99700	3450
67	Female	Yes	60	2	119400	1180
68	Male	Yes	62	1	132400	2180
69	Male	No	29	3	60400	470
70	Female	Yes	51	1	71600	970
71	Male	No	37	0	71700	2090
72	Male	No	34	1	98600	420
73	Male	Yes	43	1	112800	2790
74	Female	Yes	55	2	64900	1540
75	Male	No	51	3	110000	670
76	Male	No	43	0	96800	1730
77	Male	Yes	43	1	104500	1480
78	Male	Yes	44	3	60300	2310
79	Male	Yes	55	1	101300	2820
80	Male	Yes	32	2	86600	540
81	Male	Yes	47	1	114000	2800
82	Male	Yes	45	0	115800	2180
83	Male	Yes	40	1	72700	2030
84	Male	Yes	49	0	95800	3030
85	Male	Yes	57	2	109800	2470
86	Male	No	34	1	66100	940
87	Male	No	44	2	96000	870
88	Male	Yes	58	1	84700	3220
89	Female	No	62	0	142000	2090
90	Female	Yes	66	3	102800	1150
91	Female	No	33	2	76500	220
92	Male	Yes	56	2	100500	1790
93	Male	Yes	49	3	130800	1430
94	Male	Yes	48	1	84600	3400
95	Male	Yes	59	2	124400	1970
96	Male	No	30	0	98900	720
97	Male	No	56	0	146600	1780
98	Male	No	36	2	107100	360
99	Male	Yes	36	1	82400	1640
100	Female	Yes	44	2	90300	830