STATISTICAL ANALYSIS

Statistical Analysis

Statistical Analysis

Research Question

- Is there any evidence that male and female employees differ in their salaries?

- Is there any evidence that male and female employees differed in likelihood of raising a safety issue with the company's H & S officer?

- Is there any evidence that employees' length of employment with the company and salary are related?

Hypothesis

H 1 : Male and female employees differ in their salaries.

H 2 : Male and female employees differ in likelihood of raising a safety issue with the company's H & S officer.

H 3 : There is significant relationship between the employees' length of employment with the company and salary.

Variables

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

Gender = Gender of the respondents.

Q 1 : Have you ever raised a safety issue with your company's H & S officer?

Q 2 : When you started employment with this company did you attend a H & S briefing during your induction?

Q 3 : How long have you worked with this company?

Q 4 : How much did you earn (£) last year (including bonuses and overtime)?

Q 5 : The company is a safe place to work and H & S is always a top priority.

Q 6 : I enjoy my work and feel that I am a valued member of staff.

Descriptive Statistics

N

Range

Sum

Mean

Std. Deviation

Variance

Statistic

Statistic

Statistic

Statistic

Std. Error

Statistic

Statistic

Gender

25

1

37

1.48

.102

.510

.260

Q 1

25

1

38

1.52

.102

.510

.260

Q 2

25

1

39

1.56

.101

.507

.257

Q 3

25

2

56

2.24

.176

.879

.773

Q 4

25

12724

555879

2.22E4

743.651

3718.254

1.383 E 7

Q 5

25

4

66

2.64

.282

1.411

1.990

Q 6

25

4

70

2.80

.231

1.155

1.333

Valid N (list wise)

25

The result of the descriptive table is showing the mean of the all the variables that are used in analyzing the data. The most important values of the above table that is means and the standard deviation of the variables are important to study as these vales are providing the accuracy of the data which ahs been gathered from the participants. From the above table, it is observed that the standard deviation of the salary of the respondents that is the employees is high as compared to the other variables.

H 1 : Male and female employees differ in their salaries.

Descriptive Statistics

Mean

Std. Deviation

N

Gender

1.48

.510

25

Q 4

2.22 E 4

3718.254

25

Model Summary b

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

Change Statistics

R Square Change

F Change

df 1

df 2

Sig. F Change

1

.505 a

.255

.223

.449

.255

7.885

1

23

.010

a. Predictors: (Constant), Q 4, How much did you earn (£) last year (including bonuses and overtime)?

b. Dependent Variable: Gender that is male and female employees

ANOVA b

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

1.593

1

1.593

7.885

.010 a

Residual

4.647

23

.202

Total

6.240

24

a. Predictors: (Constant), Q 4, How much did you earn (£) last year (including bonuses and overtime)?

b. Dependent Variable: Gender that is male and female employees

The above charts are showing that the significant value of ANOVA table is less than 0.05 and the value of R is 50.5 % and the value of R - square is 0.255 that means there is a relationship between the dependent variable that is the male and female employees with the independent variables that is the salaries of male and female employees.

Coefficients a

Model

Un - standardized Coefficients

Standardized Coefficients

t

Sig.

Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

3.021

.556

5.433

.000

Q 4

- 6.929 E - 5

.000

- .505

- 2.808

.010

1.000

1.000

a. Dependent Variable: Gender that is male and female employees

From the above table, it ...