Description
- For each variable in the data set provided, classify the variable as Nominal, Ordinal, Interval or Ratio. Explain why you made the decision for each.
- Find the Mean, Standard Deviation, and Range for The Salary variable for the entire data set and for the male and females separately.
- Find the first, second, and third quartiles and the interquartile range for the entire data set, the males and females separately. Compare the results of the male and females and comment on the results.
- To test if the data is approximately normal, use the empirical rule for the normal distribution. Find the percentage of male salaries within one, two, and three standard deviation of the mean. Compare the percentages to those predicted by the empirical rule for the normal distribution. Repeat the calculations for the female salaries. Comment on the results.
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Explanation & Answer
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ID
Salary
Compa
Midpoint
Age
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
62,9
27,2
34,9
64,6
49,2
77,7
41,2
22
73,4
23,9
21,8
60,8
41,8
23,3
24,6
47,4
66,6
34,8
24,5
35,9
77,1
58,9
23,8
55,1
24,6
24,1
45,3
75,2
78,7
48,3
24,2
27,6
61,2
27
23,8
24,4
23,5
61,3
34,4
24,7
1,104
57
31
31
57
48
67
40
23
67
23
23
57
40
23
23
40
57
31
23
31
67
48
23
48
23
23
40
67
67
48
23
31
57
31
23
23
23
57
31
23
34
52
30
42
36
36
32
32
49
30
41
52
30
32
32
44
27
31
32
44
43
48
36
30
41
22
35
44
52
45
29
25
35
26
23
27
22
45
27
24
0,879
1,127
1,134
1,026
1,160
1,029
0,956
1,095
1,039
0,947
1,066
1,044
1,012
1,070
1,186
1,169
1,124
1,065
1,159
1,150
1,228
1,036
1,147
1,069
1,047
1,133
1,122
1,175
1,006
1,050
0,889
1,074
0,872
1,036
1,060
1,023
1,075
1,109
1,076
Performance Service
Rating
85
8
80
7
75
5
100
16
90
16
70
12
100
8
90
9
100
10
80
7
100
19
95
22
100
2
90
12
80
8
90
4
55
3
80
11
85
1
70
16
95
13
65
6
65
6
75
9
70
4
95
2
80
7
95
9
95
5
90
18
60
4
95
4
90
9
80
2
90
4
75
3
95
2
95
11
90
6
90
2
Gender
0
0
1
0
0
0
1
1
0
1
1
0
1
1
1
0
1
1
0
1
0
1
1
1
0
1
0
1
0
0
1
0
0
0
1
1
1
0
1
0
41
42
43
44
45
46
47
48
49
50
45,8
22,4
75,6
61,3
59,7
55,1
63,8
62,8
64
66,3
1,145
0,975
1,129
1,075
1,244
0,967
1,119
1,101
1,122
1,163
40
23
67
57
48
57
57
57
57
57
25
32
42
45
36
39
37
34
41
38
80
100
95
90
95
75
95
90
95
80
5
8
20
16
8
20
5
11
21
12
0
1
1
0
1
0
0
1
0
0
Raise Degree Gender1
5,7
3,9
3,6
5,5
5,7
4,5
5,7
5,8
4
4,7
4,8
4,5
4,7
6
4,9
5,7
3
5,6
4,6
4,8
6,3
3,8
3,3
3,8
4
6,2
3,9
4,4
5,4
4,3
3,9
5,6
5,5
4,9
5,3
4,3
6,2
4,5
5,5
6,3
0
0
1
1
1
1
1
1
1
1
1
0
0
1
1
0
1
0
1
0
1
1
0
0
0
0
1
0
0
0
1
0
1
1
0
0
0
0
0
0
M
M
F
M
M
M
F
F
M
F
F
M
F
F
F
M
F
F
M
F
M
F
F
F
M
F
M
F
M
M
F
M
M
M
F
F
F
M
F
M
Grade
E
B
B
E
D
F
C
A
F
A
A
E
C
A
A
C
E
B
A
B
F
D
A
D
A
A
C
F
F
D
A
B
E
B
A
A
A
E
B
A
The column labels in the table mean:
ID – Employee sample number
Salary – Salary in thousan
Age – Age in years
Performance Rating - App
Service – Years of service (rounded) Gender ...
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