based on data below

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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.

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