Fundamentals of Statistics IP

Fundamentals of Statistics IP

Data selection

In this research for qualitative data I have selected

gender and in quantitative data I have selected Intrinsic Factor.

Reason for selecting Data

The purpose for selecting gender and intrinsic factor is to see the relationship between the gender & the intrinsic factor, i.e. how the intrinsic value changes as the gender change.

Intrinsic Factor

Intrinsic factor shows the personal job satisfaction, intrinsic rewards include the responsibilities, challenges, or feedback related to self satisfaction. Below are some findings of the Intrinsic factors.

Case Processing Summary

Cases

Included

Excluded

Total

N

Percent

N

Percent

N

Percent

Intrinsic

50

100.0%

0

.0%

50

100.0%

a. Limited to first 100 cases.

Case Summaries

Intrinsic

1

5.50

2

5.50

3

5.20

4

5.30

5

4.70

6

5.50

7

5.20

8

5.30

9

4.70

10

5.40

11

6.20

12

5.20

13

5.30

14

4.70

15

5.40

16

6.20

17

5.20

18

5.30

19

5.30

20

4.70

21

5.50

22

5.20

23

5.30

24

4.70

25

5.40

26

6.20

27

5.20

28

5.30

29

4.70

30

5.40

31

6.20

32

5.20

33

5.30

34

4.70

35

5.30

36

4.70

37

5.50

38

5.20

39

4.70

40

5.50

41

5.20

42

5.30

43

4.70

44

5.40

45

6.20

46

5.20

47

5.30

48

4.70

49

5.40

50

6.20

Total

N

50

Mean

5.2920

Median

5.3000

Grouped Median

5.2857

Std. Error of Mean

.06133

Sum

264.60

Minimum

4.70

Maximum

6.20

Range

1.50

First

5.50

Last

6.20

Std. Deviation

.43370

Variance

.188

a. Limited to first 100 cases.

Statistics

Intrinsic

N

Valid

50

Missing

0

Mean

5.2920

Std. Error of Mean

.06133

Median

5.3000

Mode

4.70a

Std. Deviation

.43370

Variance

.188

Skewness

.590

Std. Error of Skewness

.337

Range

1.50

Minimum

4.70

Maximum

6.20

Sum

264.60

a. Multiple modes exist. The smallest value is shown

Intrinsic

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

4.7

11

22.0

22.0

22.0

5.2

10

20.0

20.0

42.0

5.3

11

22.0

22.0

64.0

5.4

6

12.0

12.0

76.0

5.5

6

12.0

12.0

88.0

6.2

6

12.0

12.0

100.0

Total

50

100.0

100.0

Results

Overall the above calculations shows that the mean is 5.29 in case of intrinsic factor & the standard deviation is .434 in a sample size of 50 people, as the standard deviation is very low this shows that most of the people are satisfied with their jobs.

Gender

Although it's a qualitative measure & here test of central tendencies cannot be applied, as gender here only represents 1 as male and 2 as female, these calculation shows that why central of tendencies cannot be applied on this data.

Case Processing Summary

Cases

Included

Excluded

Total

N

Percent

N

Percent

N

Percent

Gender

50

100.0%

0

.0%

50

100.0%

a. Limited to first 100 cases.

Case Summaries

Gender

1

1.00

2

1.00

3

1.00

4

1.00

5

1.00

6

2.00

7

2.00

8

2.00

9

2.00

10

2.00

11

1.00

12

2.00

13

2.00

14

2.00

15

2.00

16

1.00

17

1.00

18

2.00

19

2.00

20

1.00

21

1.00

22

2.00

23

2.00

24

2.00

25

1.00

26

2.00

27

2.00

28

2.00

29

2.00

30

1.00

31

1.00

32

2.00

33

2.00

34

2.00

35

2.00

36

1.00

37

1.00

38

1.00

39

1.00

40

2.00

41

2.00

42

2.00

43

2.00

44

2.00

45

1.00

46

2.00

47

2.00

48

2.00

49

2.00

50

1.00

Total

N

50

Mean

1.6200

Median

2.0000

Grouped Median

1.6200

Std. Error of Mean

.06934

Sum

81.00

Minimum

1.00

Maximum

2.00

Range

1.00

Std. Deviation

.49031

Variance

.240

a. Limited to first 100 cases.

Statistics

Gender

N

Valid

50

Missing

0

Mean

1.6200

Std. Error of Mean

.06934

Median

2.0000

Mode

2.00

Std. Deviation

.49031

Variance

.240

Skewness

-.510

Std. Error of Skewness

.337

Range

1.00

Minimum

1.00

Maximum

2.00

Gender

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

1

19

38.0

38.0

38.0

2

31

62.0

62.0

100.0

Total

50

100.0

100.0

Importance of Charts & graphs

By using charts & graphs one can explain better, charts & graphs allow people to quickly examine and spot the trends, it normally gives the actual picture of the data in a summarized form.

Importance of Variance & Standard Deviation

These are the measure of statistics, Standard Deviation & Variance is an important tool to check the variation of the data, its shows how much the data ...