STATISTICAL ANALYSIS

Statistical Analysis

Statistical Analysis

Hypothesis

H 1: Males are employed in higher grade as compared to women.

H 2: Men live far away from work as compared to women.

H 3: Women use staff social club more than men.

Variables

The variables that are used in the study are mentioned below;

Gender = What is your gender?

Employmentgrade = What employment grade are you on?

Livefromwork = How far do you live from work?

Useofstaffsocialclub = How often do you use the staff social club?

Traveltowork = How do you travel to work?

H 1: Males are employed in higher grade as compared to women.

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

What is your gender * What employment grade are you on

60

100.0 %

0

.0 %

60

100.0 %

What is your gender * What employment grade are you on Cross tabulation

Count

What employment grade are you on

Total

S

M

A

C

What is your gender

M

10

3

10

5

28

F

8

12

8

4

32

Total

18

15

18

9

60

The above table that is cross tabs of gender and employee grade shows that the 10 males belong to the senior management, 3 are from management, 10 belong to administrative and 5 are clerks. However, 8 females are senior management, 12 are from management, 8 belong to administrative and 4 are clerks. This shows that males are employed at the higher grade as compared to the women.

Chi-Square Tests

Value

df

Asymp. Sig. (2 - sided)

Pearson Chi-Square

5.714 a

3

.126

Likelihood Ratio

6.072

3

.108

Linear - by - Linear Association

.152

1

.497

N of Valid Cases

60

a. 2 cells (25.0 %) have expected count less than 5. The minimum expected count is 4.20.

The above table is showing that the gender and employment grade are related as the value of Pearson chi - square and the other test are less than 0.5 which shows that the value is significant.

H 2: Men live far away from work as compared to women.

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

What is your gender * How far do you live from work

60

100.0 %

0

.0 %

60

100.0 %

What is your gender * How far do you live from work Crosstabulation

Count

How far do you live from work

Total

V

C

D

What is your gender

M

9

9

10

28

F

12

14

6

32

Total

21

23

16

60

The above table that is cross tabs of gender and living away from work shows that the 9 males lives very close to the work, 9 lives close to work and 10 lives at distant position from the work. However, 12 females live very close to the work, 14 lives close to work and 6 lives at distant position from the work. Therefore, males live far way away from the work as compared to the women.

Chi-Square Tests

Value

df

Asymp. Sig. (2 - sided)

Pearson Chi-Square

2.259 a

2

.323

Likelihood Ratio

2.270

2

.321

Linear - by - Linear Association

1.200

1

.273

N of Valid Cases

60

a. 0 cells (.0 %) have expected count less than 5. The minimum expected count is 7.47.

The above table is showing that the gender and living away from work are related as the value of Pearson chi - square and the other test are less than 0.5 which shows that the value is significant.

H 3: Women use staff social club more than men.

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

What is your gender * How often do you use the staff social club

60

100.0 %

0

.0 %

60

100.0 %

What is your gender * How often do you use the staff social club Cross tabulation

Count

How often do you use the staff ...