based on Data Below

Find age (Minimum, Maximum, Mean, Median, Mode, Variance, Standard Deviation, Coefficient of Variation)

Find Income  (Minimum, Maximum, Mean, Median, Mode, Variance, Standard Deviation, Coefficient of Variation)

Purchasers of Cars

Stats.xlsx

Observation	Age	Gender	Income	Car Type
1	37	M	$  77,000.00	Fusion
2	49	M	$  54,000.00	Fusion
3	27	F	$  85,000.00	Escape
4	33	M	$  37,000.00	Fusion
5	50	F	$  103,000.00	Mustang
6	38	M	$  91,000.00	Escape
7	26	F	$  43,000.00	Explorer
8	45	M	$  109,000.00	Mustang
9	47	F	$  75,000.00	Escape
10	50	M	$  104,000.00	Explorer
11	45	F	$  116,000.00	Explorer
12	36	M	$  90,000.00	Mustang
13	29	M	$  121,000.00	Escape
14	35	F	$  57,000.00	Explorer
15	43	F	$  83,000.00	Mustang
16	27	F	$  73,000.00	Escape
17	25	M	$  62,000.00	Explorer
18	54	F	$  52,000.00	Fusion
19	48	M	$  70,000.00	Mustang
20	40	F	$  113,000.00	Explorer
21	44	M	$  98,000.00	Escape
22	27	F	$  37,000.00	Explorer
23	28	M	$  111,000.00	Mustang
24	51	F	$  77,000.00	Escape
25	45	F	$  71,000.00	Fusion
26	54	M	$  109,000.00	Mustang
27	30	F	$  80,000.00	Fusion
28	62	M	$  102,000.00	Explorer
29	55	F	$  45,000.00	Fusion
30	52	F	$  103,000.00	Mustang
31	43	M	$  80,000.00	Mustang
32	50	F	$  108,000.00	Escape
33	27	M	$  65,000.00	Explorer
34	36	F	$  38,000.00	Fusion
35	25	F	$  120,000.00	Mustang
36	31	F	$  43,000.00	Fusion
37	52	M	$  45,000.00	Explorer
38	42	F	$  116,000.00	Mustang
39	54	M	$  105,000.00	Escape
40	33	F	$  95.00	Escape

-Based on the Data what is the probability that given a purchaser is Female, they will buy a Fusion? What is the probability that given someone bought a Escape, They make $64,000 or less.