Question

The file PO2_07.xlsx includes data on 32 employees at the (fictional) company Beta Technologies. Find the mean, median, and s

Employee Gender Beta Experience Education Age 39 44 Prior Experience 5 12 24 2 4 6 16 11 12 0 5 0 11 12 8 0 0 6 Annual Salary

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Answer #1

We have given data with variable Gender , Age , Prior Experience , Beta Experience , Education and Annual salary in $

Now we need to find Mean ,Median and Standard deviation of salary based on different categories

1) Based on Gender ( here given 0 , 1 for Female or Male )

2) Based on Education ( Less than 4 , 4 , greater than 4 )

3) Based on Age ( Young (age<34) , Middle age (34 \small \leq Age < 50) , Older(Age \small \geq 50) )

{ Print data for required labels only }

Employee Gender Age Education Annual Salary
1 1 39 4 63900
2 0 44 6 84000
3 0 24 4 45600
4 1 25 4 44200
5 0 56 8 156100
6 1 41 4 80300
7 1 33 6 50900
8 0 37 4 67100
9 1 51 6 137800
10 0 23 4 36600
11 0 31 6 61500
12 1 27 0 34800
13 0 47 4 67700
14 1 35 6 66200
15 1 29 0 28400
16 0 46 6 75900
17 1 50 4 106200
18 0 30 4 66200
19 1 34 4 58400
20 1 42 4 83900
21 1 51 8 134900
22 0 63 4 144600
23 0 28 4 55600
24 1 32 4 56500
25 0 55 6 143200
26 1 45 4 68700
27 0 34 2 34300
28 0 33 4 58600
29 1 23 4 48900
30 0 40 6 75800
31 1 48 4 88300
32 1 27 0 23000

For Q1

First we will find which observation represents male.

Male = 0

Sr no

Sr.No

Male Obs

No.

Annual

Salary

1    

2

84000

2

3

45600

3

5

156100

4

8

67100

5

10

36600

6

11

61500

7

13

67700

8

16

75900

9

18

66200

10

22

144600

11

23

55600

12

25

143200

13

27

34300

14

28

58600

15

30

75800

We sort Salary of males in Ascending Order

[1] 34300 36600 45600 55600 58600 61500 66200 67100 67700 75800
[11] 75900 84000 143200 144600 156100

Thus Mean Salary for Male = \small \sum \frac{xi}{n1} = (34300 + 36600 + .... +143200 +144600 + 156100) / 15

                                                = 1172800 / 15

                                                = 78186.67

        Mean Salary for Male   = 78187

Median Salary = ( n + 1 )/ 2 Obsn = 8th Obs            ( As n= 15 is odd number )

Median Salary = 67100

Standard deviation = Var(xi)

Where \small Var(xi) = (xi - Mean(x)) ni - 1 =

       = [ (34300 -78187 )2 + ( 36600- 78187)2 + .... +(143200-78187)2 +(144600 -78187)2 +

                                        (156100 -78187) 2 ]/ (15-1)

   = 21018857333 / 14

\small Var(xi) = 1501346952

Hence Standard deviation = 1501346952 =   38747.22

Hence using similar formulas we will find mean , median and Standard deviation for every group

Mean (xi) = \small \sum \frac{xi}{n}

Median =( n + 1 )/ 2 Obsn                          { if Observations (n ) are odd }

             = ( [n/2 ]+ [n/2+1] )/ 2         { if Observations (n ) are even }

Standard deviation = Var(xi)

                                   Where \small Var(xi) = (x?- Meanıxl) n-1

Now we will find which observation represents Female.

Since it is calcualted

Mean Median and Std Dev using above formulas

For females

Mean =69135.29 = 69135

Median = 63900

Standard deviation = 33321.52

part 2)

Based on Education ( Less than 4 , 4 , greater than 4 )

i ) Less than 4 ( Education < 4 )

Sr

No.

Less

than 4

Obs No.

Salary

1

12

34800

2

15

28400

3

27

34300

4

32

23000

Sorted data

Xi = 23000 28400 34300 34800

Mean = \small \sum \frac{xi}{n} = 30125     

Median = 31350    { here n = 4 }

Standard deviation = 5568.587

ii ) Equal to 4

Sr . no

4

Obs No.

Salary

1

1

63900

2

3

45600

3

4

44200

4

6

80300

5

8

67100

6

10

36600

7

13

67700

8

17

106200

9

18

66200

10

19

58400

11

20

83900

12

22

144600

13

23

55600

14

24

56500

15

26

68700

16

28

58600

17

29

48900

18

31

88300

Sorted data

Xi =

36600 44200 45600 48900 55600 56500 58400 58600 63900 66200
67100 67700 68700 80300 83900 88300 106200 144600

Mean = \small \sum \frac{xi}{n} = 68961.11 = 68961   

Median = 65050    { here n = 18 }

Standard deviation = 25475.83

i ) Greater than 4 ( Education > 4 )

Sr

No

Greater than 4

Obs No.

Salary

1

2

84000

2

5

156100

3

7

50900

4

9

137800

5

11

61500

6

14

66200

7

16

75900

8

21

134900

9

25

143200

10

30

75800

Sorted data

Xi = 50900 61500 66200 75800 75900 84000 134900 137800 143200 156100

Mean = \small \sum \frac{xi}{n} = 98630   

Median = 79950    { here n = 10 }

Standard deviation = 39580.41

part 3)

Based on Age ( Young (age<34) , Middle age (34 \small \leq Age < 50) , Older(Age \small \geq 50) )

i) Young (age<34)

Sr

No

age

Obs No.

age

Salary

1

3

24

45600

2

4

25

44200

3

7

33

50900

4

10

23

36600

5

11

31

61500

6

12

27

34800

7

15

29

28400

8

18

30

66200

9

23

28

55600

10

24

32

56500

11

28

33

58600

12

29

23

48900

13

32

27

23000

Sorted Data

Xi - 23000 28400 34800 36600 44200 45600 48900 50900 55600 56500 58600 61500 66200

Mean = \small \sum \frac{xi}{n} = 46984.62   

Median = 48900    { here n = 13 }

Standard deviation = 13182.18

ii) Middle age (34 \small \leq Age < 50)

Sr

No

age

Obs No.

age

Annually

Salary

1

1

39

63900

2

2

44

84000

3

6

41

80300

4

8

37

67100

5

13

47

67700

6

14

35

66200

7

16

46

75900

8

19

34

58400

9

20

42

83900

10

26

45

68700

11

27

34

34300

12

30

40

75800

13

31

48

88300

Sorted Data

Xi - 34300 58400 63900 66200 67100 67700 68700 75800 75900 80300 83900 84000 88300

Mean = \small \sum \frac{xi}{n} = 70346.15   

Median = 68700   

Standard deviation = 14062.87


iii) Older ( Age \small \geq 50)

Sr

No

age

Obs No.

age

Annually

Salary

1

5

56

156100

2

9

51

137800

3

17

50

106200

4

21

51

134900

5

22

63

144600

6

25

55

143200

Sorted Data

Xi - 106200 134900 137800 143200 144600 156100

Mean = \small \sum \frac{xi}{n} = 137133.3   

Median = 140500

Standard deviation = 16820.19

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