Obtain the Z scores on each subject’s age.
- Obtain the Z scores on each subject’s age.
DATA
|
Subject |
Gender |
Marital Status |
Age |
Education |
Household Income |
Personal Income |
|
1 |
F |
1 |
30 |
0 |
70000.00 |
40000.00 |
|
2 |
F |
0 |
40 |
0 |
32500.00 |
32500.00 |
|
3 |
M |
1 |
45 |
0 |
42000.00 |
.0 |
|
4 |
M |
1 |
23 |
0 |
50000.00 |
50000.00 |
|
5 |
M |
0 |
50 |
0 |
4500.00 |
4500.00 |
|
6 |
F |
0 |
65 |
1 |
40000.00 |
22000.00 |
|
7 |
F |
1 |
33 |
1 |
12000.00 |
12000.00 |
|
8 |
F |
0 |
20 |
2 |
56000.00 |
52000.00 |
|
9 |
F |
missing |
30 |
3 |
17500.00 |
17500.00 |
|
10 |
M |
1 |
Missing |
4 |
44000.00 |
39000.00 |
|
11 |
M |
2 |
58 |
1 |
missing |
missing |
|
12 |
M |
2 |
32 |
2 |
10000.00 |
10000.00 |
|
13 |
M |
1 |
35 |
3 |
missing |
missing |
|
14 |
F |
2 |
23 |
4 |
100000.00 |
50000.00 |
|
15 |
F |
2 |
34 |
1 |
64000.00 |
64000.00 |
|
16 |
M |
1 |
26 |
2 |
Missing |
missing |
|
17 |
M |
1 |
36 |
3 |
missing |
missing |
|
18 |
F |
0 |
41 |
4 |
7500.00 |
5500.00 |
|
19 |
F |
0 |
43 |
1 |
missing |
missing |
|
20 |
F |
1 |
46 |
2 |
100000.00 |
missing |
|
21 |
F |
1 |
18 |
3 |
24000.00 |
24000.00 |
|
22 |
F |
1 |
40 |
4 |
42000.00 |
22000.00 |
|
23 |
M |
2 |
19 |
1 |
missing |
missing |
|
24 |
M |
2 |
23 |
2 |
missing |
missing |
|
25 |
M |
2 |
24 |
3 |
3500.00 |
3500.00 |
|
26 |
F |
1 |
55 |
4 |
45000.00 |
22500.00 |
|
27 |
M |
1 |
52 |
1 |
350000.00 |
.0 |
|
28 |
M |
1 |
34 |
2 |
5000.00 |
5000.00 |
|
29 |
F |
0 |
35 |
3 |
10000.00 |
310400.00 |
|
30 |
M |
0 |
61 |
4 |
55000.00 |
42000.00 |
|
31 |
F |
0 |
63 |
1 |
25000.00 |
25000.00 |
|
32 |
M |
1 |
66 |
2 |
22000.00 |
22000.00 |
|
33 |
M |
1 |
42 |
3 |
40000.00 |
40000.00 |
|
34 |
M |
missing |
47 |
4 |
40000.00 |
40000.00 |
|
35 |
F |
1 |
48 |
missing |
missing |
missing |
|
36 |
F |
2 |
45 |
0 |
18000.00 |
18000.00 |
|
37 |
M |
2 |
34 |
0 |
50000.00 |
50000.00 |
|
38 |
M |
0 |
65 |
0 |
200000.00 |
missing |
|
39 |
M |
1 |
58 |
1 |
50000.00 |
.0 |
|
40 |
F |
1 |
missing |
2 |
missing |
missing |
|
41 |
F |
0 |
19 |
1 |
3500.00 |
2000.00 |
|
42 |
F |
0 |
22 |
1 |
55000.00 |
35000.00 |
|
43 |
F |
0 |
30 |
1 |
60000.00 |
40000.00 |
|
44 |
F |
0 |
35 |
1 |
300000.00 |
150000.00 |
|
45 |
F |
1 |
40 |
4 |
800000.00 |
600000.00 |
|
46 |
F |
1 |
42 |
4 |
3600.00 |
2000.00 |
|
47 |
F |
1 |
48 |
4 |
333000.00 |
153000.00 |
|
48 |
M |
1 |
50 |
3 |
4500.00 |
2500.00 |
|
49 |
F |
1 |
55 |
2 |
56000.00 |
36000.00 |
|
50 |
M |
0 |
47 |
1 |
55000.00 |
35000.00 |
|
51 |
M |
1 |
45 |
0 |
100000.00 |
50000.00 |
|
52 |
M |
missing |
33 |
0 |
60000.00 |
35000.00 |
|
53 |
F |
1 |
25 |
1 |
505000.00 |
350000.00 |
|
54 |
M |
0 |
68 |
2 |
4200.00 |
2200.00 |
|
55 |
F |
0 |
72 |
2 |
missing |
.0 |
|
56 |
F |
1 |
68 |
3 |
31000.00 |
20000.00 |
|
57 |
M |
1 |
33 |
4 |
250.00 |
150.00 |
|
58 |
M |
1 |
35 |
missing |
45000.00 |
30000.00 |
|
59 |
F |
1 |
56 |
3 |
25000.00 |
15000.00 |
|
60 |
F |
0 |
65 |
3 |
23000.00 |
20000.00 |
**Note : Gender (0=female, male=1); Marital Status(0=unmarried, 1=married, 2=widowed), Age (in years); Education (0= less than high school, 1=high school, 2=college,3=postgraduate, 4=professional degree); Missing (missing = -9)
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