Comprehensive Report on Job Satisfaction: Analysis and Recommendations

This report provides a detailed analysis of job satisfaction, exploring various factors that influence it, such as the nature of the job, management styles, social relationships, and personal adjustment. It highlights the importance of job satisfaction for employee retention, productivity, and overall company success. The report discusses business intelligence requirements, including the challenges faced by human resource managers, and the methods used to analyze data, such as Microsoft Excel, statistical tools like regression, variance, correlation, covariance, Chi-square, Z-test, and T-test. The analysis includes calculations of variance, standard deviation, covariance, correlation, and regression, along with Chi-square and Z-test results to assess the relationships between different variables. The findings indicate the impact of training on job satisfaction and the dependence of marital status on promotion. The report concludes with recommendations based on the analysis, emphasizing the importance of creating a positive work environment and addressing the challenges in human resource management to enhance employee satisfaction and organizational outcomes.

1
Running head: Job satisfaction
Job satisfaction
First name, Last name
Institution

2
Job satisfaction
Introduction
Job satisfaction is regarded as one’s state of mind or feeling based on the status of their work.
Job status can be affected by numerous factors which may include; quality relationship between
the employee and supervisor, quality of working environment and the level of work fulfillments.
Job satisfaction can also be categorized as positive attitude of employee towards job, whereas
variation of negative attitudes can be categorized job dissatisfaction. Therefore, job satisfaction
may be regarded as an attitude that may result from combination and balancing of numerous
dislikes and likes experience in job. In addition, job evaluation may depend upon one’s failure or
success in achieving personal objectives and upon apparent combination of the job and its end.
According to Valentine et al., (2011), the satisfaction of any employee’s feelings to a particular
job can be classified into four summation sections. These include:
1. Job - nature of job (dangerous, dull or interesting), working hours, relationship with
other workers, job opportunities (promotion or prospectus), overtime regulation, machine
and tools and physical environment.
2. Management – supervisory treatment, participation, punishment and rewards, favoritism
and leave policies and blames and praises.
3. Social relationship – neighbors, friends, social activities participation, associates, caste
barrier and attitude towards community.
4. Personal adjustment - emotionality and health.
Job satisfaction is a fundamental pointer of how employees will feel about the job assigned for
and also predicts the workers behaviors in regards to their job turnover, absenteeism, citizenship,
the benefit of job satisfaction and work morale.
The labor force offered by employees in an organization is a key asset. Their departure or
withdraw could result to a significant effect that may hinder organization’s business objectives
and plans. This may ultimately result to a decline to productivity. Therefore, employee
satisfaction is fundamental in success and growth of a company. A positive satisfaction would
satisfy customers’ service and effective business planning. This would also progress the
confidence of the investors this is because they are always concern with appropriate employees
capacity performance. Job satisfaction is directly related to talent since a creative brain could be
caused by happy brain. Employee’s happiness is an aspiration to talent management since it
greatly influences creativity, loyalty and productivity of the employees.
Importance of job satisfaction
Satisfaction of job ensures recruitment of a right employees and their retention in an
organization. This also ensures productivity is maintained by keeping the employees constantly
motivated and engaged. Job satisfaction also controls negative effects of conflicts and stress that

3
Job satisfaction
minimizes labor turnover for employees. To ensure that this would materialize a work
environment is created from range of factors which includes; management styles, company
culture, human resources and hierarchies policies. Employees’ satisfaction is a fulfillment of
personal feeling and satisfied in their job. Employees turnover is regarded as the rate in which an
employee withdraw from job either voluntary or involuntarily. Therefore, positive work
environment directly decrease turnover and increase employees satisfactory.
Secondly, personal respect at all stages of the company is an integrated part of ensuring positive
work environment. Personal respect protects works from sexual harassment, discrimination
based on gender, age or ethnic background. Therefore, the more respect employees are given at
the work place, then the more they will be satisfied with the job. A lack of respect may result to
employees quitting the job and increase in turnover.
Thirdly, growth opportunities offered to employees’ plays an important role on work
environment.
Fourthly, management style applied by the managers and owners directly influences the company
productivity. Managers can apply collaborative management style by working together with his or
her subordinate in order to accomplish a particular task. Managers can also apply facilitative styles
by ensuring that employees will always have the right material, tools and prompt information about
the job. Managers can also apply coercive style to manage every employee’s move. The best
management style will rely on a given situation and the nature of work that is performed.
Lastly, the company culture includes the procedural ways in which conflicts are solved and
handled, the communication style, policies on dress code and other details. The culture of a
company must fit with status of employees in order to increase job satisfaction.
.

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Job satisfaction
Business intelligence required
The department of human resource management is classified as a field where innovative trends
are supposed to be focused, in order to capitalize on employees’ skill, knowledge, ability and job
satisfaction. These characteristics are aimed at accomplishing the company’s objectives and
goals. Many have argued that human resource job is amongst the difficult positions one may hold
in an organization. This is because their responsibilities lies on ensuring that the right personnel
is either employed or hired for the right work, this generally will have a direct impact on the
company (Stone and Deadrick, 2015).
Human resource management has been adapting itself to changes of work environment, but the
changes have never been fully solved, since they still take place. The human resource challenge
includes:
1. Many companies have been facing difficulty in retaining high rate of labor turnover, to
control this human resource manager are required to take action
2. The multi-cultural companies operates in different nations, therefore their companies
work force will be associated with people from different cultures. Human resource
manager will find it hard to deal with all the needs of this people at once.
3. Human resource manager faces difficulty in providing an environment for physically
handicapped employees. Since few companies provide job and facilities that are
designed to handicapped employees.
4. Human resource managers have been facing challenges to appropriately retrench
workers without hurting and antagonizing the workers and their unions.
Method used
The method used in analyzing the sample data was Microsoft excel. The importance of using
excel is categorized into two which includes; cost and convenience. Though, using excel in
analyzing the statistical data requires knowledge of data analysis, clarity and strong decision
skills.
Statistical descriptive tool in add – in data analysis is used in analyzing existing data; it also
helps in giving a general trend of idea on the sample data including:
 The mode, mean, range and median
 Standard deviation and variance
 Maximum and minimum
 Z – score
 T-score

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Job satisfaction
Statistical analysis
Regression
Regression analysis involves establishing a dependent and independent variable relationship.
Variance/ standard deviation
The calculation of variance will involve first determining the mean, then squaring the subtraction
between determined mean and each sample value. The variance will now be determined by
dividing the total square with the frequency sample data less with one.
The standard deviation was determined by finding the square root of the variance.
Correlation
Correlation measures the range in which two or more variables vary together. If the variables
decrease or increase parallel the correlation is regarded as positive. If one variable decrease as
the other increase it will be regarded as negative.
Covariance
Covariance measures the direction of a relationship that exists between two return assets. If an
asset return move in one direction it is regarded as positive, while if the direction of the assets is
inversely is regarded as negative.
Chi – square
Chi – square measures how best observed data will fit a particular distribution if the variables are
independent.
Z-Test
It is a statistical test in which the null hypothesis statistical test can be determined by a normal
distribution
T-Test
T- Test is a hypothetical test that follows a normal distribution if the statistical scale terms were
known.

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Job satisfaction
Variance/standard deviation
Job satisfactory score before training
Variance = ∑ (x−x )
n
= 273
300
= 0.91
S.d = √variance
= √0.91
= 0.954
Job satisfactory score after training
Variance = ∑ (x−x )
n
= 350.43667
300
= 1.168122
S.d = √variance
= √1.168122
= 1.0808
Covariance
Covariance = ∑ ( x−x )( y− y)
n−1

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Job satisfaction
= 68.9
299
= 0.2304
Correlation
Correlation =
n (∑ xy )−(∑ x )(∑ y )
√ [ n∑ x2− (∑ x )2
] ¿ ¿ ¿
= 16104000
√ 8160056∗3.999936∗1012
= 0.0028188
The value of calculated correlation is zero this will mean that there was no correlation between
the sample data.
Regression
a = (∑ y ) (∑ y2 )−(∑ x)(∑ xy )
n (∑ x2 )− ( ∑ x )2
= 1401∗8925−14208000∗66090000
300 ( 6.86224∗1011 ) − ( 14208000 )2
= -234.755
b = n (∑ xy )−(∑ x )(∑ y )
n ( ∑ x2 )− (∑ x )2
= 300∗66090000−14208000∗1401
300∗6.86224∗1011−142080002
Y = -234.755 + 0.00006123x
Chi – square

8
Job satisfaction
X2 = x0.01(1)
= 2.7055
Yes No Total
Married 212 88 300
Single 283 17 300
Total 495 105 600
e1=
300∗495
600 = 247.5
e2=
300∗105
600 = 5.25
e3=
300∗495
600 = 247.5
e4=
300∗105
600 = 5.25
Oij eij Oij−eij
eij
212 247.5 5.092
88 5.25 1304.3
283 247.5 5.092
17 5.25 26.298
Total = 1340.78
Z – Test
Z = X−μ
σ
= 47360−41.88
6677.752
= 7.086
T – Test

9
Job satisfaction
1.16809E-66
Conclusion and recommendation
The variation of job satisfaction score before training was 0.91 which was less than 1.16812
variations of job satisfaction score after training. In addition the standard deviation of job
satisfaction score before training was 0.954 which was less than 1.0808 of score after training.
The variation of job satisfaction score before training was 0.25812 or 28.36% was less than
variations of job satisfaction score after training. In addition the standard deviation of job
satisfaction score after training was 0.1248 more than job satisfaction before training or 13.082%
more.
The covariance between the job satisfaction score before training and life happiness score was
0.2304. According to Dryden, Koloydenko and Zhou (2009) the covariance was positive, then it
means that the variables were positively related, they therefore moved together in the same
direction.
According to Faul et al., (2009) there was no correlation coefficient from the calculation since
the correlation coefficient was zero.
The regression value of ‘a’ was -234.755 value of life happiness score when the salary is zero.
Therefore, predicted percentage of life happiness was 234.755%. The value of ‘b’ was
0.00006123, according to Kleinman and Norton (2009) this showed that the percentage of life
happiness score and salary were correlated.
The Chi – square value was 1340.78 > 2.705, therefore we conclude that marital status and
promotion are dependent.

10
Job satisfaction
References
Dryden, I. L., Koloydenko, A., & Zhou, D. (2009). Non-Euclidean statistics for covariance
matrices, with applications to diffusion tensor imaging. The Annals of Applied
Statistics, 3(3), 1102-1123.
Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*
Power 3.1: Tests for correlation and regression analyses. Behavior research
methods, 41(4), 1149-1160.
Kleinman, L. C., & Norton, E. C. (2009). What's the risk? A simple approach for estimating
adjusted risk measures from nonlinear models including logistic regression. Health
services research, 44(1), 288-302.
Valentine, S., Godkin, L., Fleischman, G. M., & Kidwell, R. (2011). Corporate ethical values,
group creativity, job satisfaction and turnover intention: The impact of work context on
work response. Journal of Business Ethics, 98(3), 353-372.
Stone, D. L., & Deadrick, D. L. (2015). Challenges and opportunities affecting the future of
human resource management. Human Resource Management Review, 25(2), 139-145

11
Job satisfaction
APPENDIX
Job satisfactory score before training
Job Satisfaction Score before
training(1-5) [X]
X - mean (X -
mean)^2
3 0.9 0.81
3 0.9 0.81
3 0.9 0.81
2 -0.1 0.01
3 0.9 0.81
3 0.9 0.81
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
4 1.9 3.61
3 0.9 0.81
3 0.9 0.81
3 0.9 0.81
2 -0.1 0.01
3 0.9 0.81
3 0.9 0.81
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01

12
Job satisfaction
1 -1.1 1.21
2 -0.1 0.01
3 0.9 0.81
1 -1.1 1.21
4 1.9 3.61
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
5 2.9 8.41
1 -1.1 1.21
1 -1.1 1.21
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
5 2.9 8.41
3 0.9 0.81
3 0.9 0.81
1 -1.1 1.21
1 -1.1 1.21
3 0.9 0.81
3 0.9 0.81
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
4 1.9 3.61
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
4 1.9 3.61
1 -1.1 1.21
3 0.9 0.81
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01

13
Job satisfaction
1 -1.1 1.21
3 0.9 0.81
3 0.9 0.81
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
4 1.9 3.61
4 1.9 3.61
1 -1.1 1.21
3 0.9 0.81
4 1.9 3.61
1 -1.1 1.21
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
4 1.9 3.61
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
2 -0.1 0.01
3 0.9 0.81
1 -1.1 1.21
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
3 0.9 0.81
3 0.9 0.81
3 0.9 0.81
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
4 1.9 3.61
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01

14
Job satisfaction
3 0.9 0.81
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
1 -1.1 1.21
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
4 1.9 3.61
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
2 -0.1 0.01
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
2 -0.1 0.01
1 -1.1 1.21
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
2 -0.1 0.01
4 1.9 3.61
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
4 1.9 3.61
3 0.9 0.81
1 -1.1 1.21
2 -0.1 0.01
3 0.9 0.81
4 1.9 3.61
4 1.9 3.61
3 0.9 0.81
2 -0.1 0.01

15
Job satisfaction
2 -0.1 0.01
1 -1.1 1.21
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
1 -1.1 1.21
1 -1.1 1.21
1 -1.1 1.21
1 -1.1 1.21
4 1.9 3.61
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
1 -1.1 1.21
3 0.9 0.81
3 0.9 0.81
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
3 0.9 0.81
4 1.9 3.61
4 1.9 3.61
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
1 -1.1 1.21
3 0.9 0.81
1 -1.1 1.21
2 -0.1 0.01
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
1 -1.1 1.21
3 0.9 0.81

16
Job satisfaction
1 -1.1 1.21
2 -0.1 0.01
3 0.9 0.81
1 -1.1 1.21
4 1.9 3.61
2 -0.1 0.01
1 -1.1 1.21
2 -0.1 0.01
3 0.9 0.81
4 1.9 3.61
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
1 -1.1 1.21
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
4 1.9 3.61
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
1 -1.1 1.21
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
4 1.9 3.61
1 -1.1 1.21
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21

17
Job satisfaction
1 -1.1 1.21
3 0.9 0.81
1 -1.1 1.21
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
4 1.9 3.61
1 -1.1 1.21
3 0.9 0.81
3 0.9 0.81
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
3 0.9 0.81
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
2 -0.1 0.01
1 -1.1 1.21
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
4 1.9 3.61
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
1 -1.1 1.21
2 -0.1 0.01
3 0.9 0.81
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
3 0.9 0.81
1 -1.1 1.21

18
Job satisfaction
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
3 0.9 0.81
4 1.9 3.61
1 -1.1 1.21
3 0.9 0.81
1 -1.1 1.21
2 -0.1 0.01
1 -1.1 1.21
1 -1.1 1.21
2 -0.1 0.01
2 -0.1 0.01
3 0.9 0.81
1 -1.1 1.21
3 0.9 0.81
3 0.9 0.81
Total
=
630 273
Mean
=
2.1
Job satisfactory score after training
Job Satisfaction Score after training(1-
5) [X]
X -
mean
(X - mean)^2
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
5 1.456
7
2.12197489

19
Job satisfaction
1 -
2.543
3
6.46837489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 - 0.29517489

20
Job satisfaction
0.543
3
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489

21
Job satisfaction
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
5 1.456
7
2.12197489
1 -
2.543
3
6.46837489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
2 -
1.543
2.38177489

22
Job satisfaction
3
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456 2.12197489

23
Job satisfaction
7
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
5 1.456
7
2.12197489
1 -
2.543
3
6.46837489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489

24
Job satisfaction
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489

25
Job satisfaction
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
5 1.456
7
2.12197489
1 -
2.543
3
6.46837489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489

26
Job satisfaction
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
3 -
0.543
0.29517489

27
Job satisfaction
3
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
5 1.456
7
2.12197489
1 -
2.543
6.46837489

28
Job satisfaction
3
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489

29
Job satisfaction
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489

30
Job satisfaction
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
5 1.456
7
2.12197489
1 -
2.543
3
6.46837489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
3 - 0.29517489

31
Job satisfaction
0.543
3
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456 0.20857489

32
Job satisfaction
7
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
5 1.456
7
2.12197489
1 -
2.543
3
6.46837489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
3 -
0.543
0.29517489

33
Job satisfaction
3
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
0.29517489

34
Job satisfaction
3
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
5 1.456
7
2.12197489
1 -
2.543
3
6.46837489
5 1.456
7
2.12197489
4 0.456
7
0.20857489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
3 -
0.543
0.29517489

35
Job satisfaction
3
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
3 -
0.543
3
0.29517489
3 -
0.543
3
0.29517489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
2 -
1.543
3
2.38177489
3 -
0.543
3
0.29517489
5 1.456
7
2.12197489
5 1.456
7
2.12197489
Total = 1063 350.436667
mean = 3.543333333
Covariance
Job Satisfaction Score before
training(1-5) [X]
Life Happiness
Score (1-10) [Y]
X -
mean of
X
Y -
mean
of Y
[X-mean of x]*[Y
- mean of Y]
3 5 0.9 0.33 0.297
3 6 0.9 1.33 1.197
3 1 0.9 -3.67 -3.303
2 3 -0.1 -1.67 0.167

36
Job satisfaction
3 8 0.9 3.33 2.997
3 9 0.9 4.33 3.897
2 10 -0.1 5.33 -0.533
2 2 -0.1 -2.67 0.267
2 4 -0.1 -0.67 0.067
3 5 0.9 0.33 0.297
2 6 -0.1 1.33 -0.133
1 2 -1.1 -2.67 2.937
4 1 1.9 -3.67 -6.973
3 5 0.9 0.33 0.297
3 1 0.9 -3.67 -3.303
3 10 0.9 5.33 4.797
2 9 -0.1 4.33 -0.433
3 5 0.9 0.33 0.297
3 1 0.9 -3.67 -3.303
2 3 -0.1 -1.67 0.167
2 2 -0.1 -2.67 0.267
2 5 -0.1 0.33 -0.033
3 8 0.9 3.33 2.997
2 9 -0.1 4.33 -0.433
1 6 -1.1 1.33 -1.463
2 3 -0.1 -1.67 0.167
3 5 0.9 0.33 0.297
1 4 -1.1 -0.67 0.737
4 1 1.9 -3.67 -6.973
1 2 -1.1 -2.67 2.937
1 5 -1.1 0.33 -0.363
2 9 -0.1 4.33 -0.433
2 6 -0.1 1.33 -0.133
3 5 0.9 0.33 0.297
5 6 2.9 1.33 3.857
1 1 -1.1 -3.67 4.037
1 3 -1.1 -1.67 1.837
1 8 -1.1 3.33 -3.663
1 9 -1.1 4.33 -4.763
2 10 -0.1 5.33 -0.533
2 2 -0.1 -2.67 0.267
2 4 -0.1 -0.67 0.067
3 5 0.9 0.33 0.297
2 6 -0.1 1.33 -0.133
5 2 2.9 -2.67 -7.743
3 1 0.9 -3.67 -3.303
3 5 0.9 0.33 0.297

37
Job satisfaction
1 1 -1.1 -3.67 4.037
1 10 -1.1 5.33 -5.863
3 9 0.9 4.33 3.897
3 5 0.9 0.33 0.297
1 1 -1.1 -3.67 4.037
1 3 -1.1 -1.67 1.837
2 2 -0.1 -2.67 0.267
4 5 1.9 0.33 0.627
3 8 0.9 3.33 2.997
2 9 -0.1 4.33 -0.433
1 6 -1.1 1.33 -1.463
2 3 -0.1 -1.67 0.167
2 5 -0.1 0.33 -0.033
4 4 1.9 -0.67 -1.273
1 1 -1.1 -3.67 4.037
3 2 0.9 -2.67 -2.403
2 5 -0.1 0.33 -0.033
2 9 -0.1 4.33 -0.433
3 6 0.9 1.33 1.197
2 2 -0.1 -2.67 0.267
1 1 -1.1 -3.67 4.037
3 3 0.9 -1.67 -1.503
3 3 0.9 -1.67 -1.503
1 1 -1.1 -3.67 4.037
2 2 -0.1 -2.67 0.267
2 2 -0.1 -2.67 0.267
3 3 0.9 -1.67 -1.503
4 4 1.9 -0.67 -1.273
4 1 1.9 -3.67 -6.973
1 1 -1.1 -3.67 4.037
3 3 0.9 -1.67 -1.503
4 4 1.9 -0.67 -1.273
1 5 -1.1 0.33 -0.363
2 1 -0.1 -3.67 0.367
1 10 -1.1 5.33 -5.863
1 9 -1.1 4.33 -4.763
1 5 -1.1 0.33 -0.363
2 1 -0.1 -3.67 0.367
2 3 -0.1 -1.67 0.167
2 2 -0.1 -2.67 0.267
4 5 1.9 0.33 0.627
2 8 -0.1 3.33 -0.333
3 9 0.9 4.33 3.897

38
Job satisfaction
2 6 -0.1 1.33 -0.133
1 3 -1.1 -1.67 1.837
2 5 -0.1 0.33 -0.033
3 4 0.9 -0.67 -0.603
1 1 -1.1 -3.67 4.037
2 5 -0.1 0.33 -0.033
1 6 -1.1 1.33 -1.463
1 1 -1.1 -3.67 4.037
3 3 0.9 -1.67 -1.503
3 8 0.9 3.33 2.997
3 9 0.9 4.33 3.897
2 10 -0.1 5.33 -0.533
2 2 -0.1 -2.67 0.267
2 4 -0.1 -0.67 0.067
3 5 0.9 0.33 0.297
4 6 1.9 1.33 2.527
1 2 -1.1 -2.67 2.937
2 1 -0.1 -3.67 0.367
2 5 -0.1 0.33 -0.033
2 1 -0.1 -3.67 0.367
3 10 0.9 5.33 4.797
2 9 -0.1 4.33 -0.433
2 5 -0.1 0.33 -0.033
2 1 -0.1 -3.67 0.367
2 3 -0.1 -1.67 0.167
3 2 0.9 -2.67 -2.403
1 5 -1.1 0.33 -0.363
2 8 -0.1 3.33 -0.333
1 9 -1.1 4.33 -4.763
1 6 -1.1 1.33 -1.463
2 3 -0.1 -1.67 0.167
1 5 -1.1 0.33 -0.363
1 4 -1.1 -0.67 0.737
4 1 1.9 -3.67 -6.973
2 2 -0.1 -2.67 0.267
2 5 -0.1 0.33 -0.033
3 9 0.9 4.33 3.897
2 6 -0.1 1.33 -0.133
2 5 -0.1 0.33 -0.033
1 6 -1.1 1.33 -1.463
2 1 -0.1 -3.67 0.367
2 3 -0.1 -1.67 0.167
3 8 0.9 3.33 2.997

39
Job satisfaction
2 9 -0.1 4.33 -0.433
2 10 -0.1 5.33 -0.533
1 2 -1.1 -2.67 2.937
3 4 0.9 -0.67 -0.603
2 5 -0.1 0.33 -0.033
1 6 -1.1 1.33 -1.463
2 2 -0.1 -2.67 0.267
4 1 1.9 -3.67 -6.973
3 5 0.9 0.33 0.297
2 1 -0.1 -3.67 0.367
1 10 -1.1 5.33 -5.863
4 9 1.9 4.33 8.227
3 5 0.9 0.33 0.297
1 1 -1.1 -3.67 4.037
2 3 -0.1 -1.67 0.167
3 2 0.9 -2.67 -2.403
4 5 1.9 0.33 0.627
4 8 1.9 3.33 6.327
3 9 0.9 4.33 3.897
2 6 -0.1 1.33 -0.133
2 3 -0.1 -1.67 0.167
1 5 -1.1 0.33 -0.363
3 4 0.9 -0.67 -0.603
2 1 -0.1 -3.67 0.367
1 2 -1.1 -2.67 2.937
1 5 -1.1 0.33 -0.363
1 9 -1.1 4.33 -4.763
1 6 -1.1 1.33 -1.463
1 2 -1.1 -2.67 2.937
1 1 -1.1 -3.67 4.037
4 3 1.9 -1.67 -3.173
2 3 -0.1 -1.67 0.167
2 1 -0.1 -3.67 0.367
2 2 -0.1 -2.67 0.267
3 2 0.9 -2.67 -2.403
2 3 -0.1 -1.67 0.167
2 4 -0.1 -0.67 0.067
2 1 -0.1 -3.67 0.367
1 1 -1.1 -3.67 4.037
3 3 0.9 -1.67 -1.503
3 4 0.9 -0.67 -0.603
2 5 -0.1 0.33 -0.033
2 1 -0.1 -3.67 0.367

40
Job satisfaction
2 10 -0.1 5.33 -0.533
3 9 0.9 4.33 3.897
2 5 -0.1 0.33 -0.033
1 1 -1.1 -3.67 4.037
3 3 0.9 -1.67 -1.503
4 2 1.9 -2.67 -5.073
4 5 1.9 0.33 0.627
1 8 -1.1 3.33 -3.663
1 9 -1.1 4.33 -4.763
2 6 -0.1 1.33 -0.133
1 3 -1.1 -1.67 1.837
3 5 0.9 0.33 0.297
1 4 -1.1 -0.67 0.737
2 1 -0.1 -3.67 0.367
1 5 -1.1 0.33 -0.363
2 6 -0.1 1.33 -0.133
2 1 -0.1 -3.67 0.367
3 3 0.9 -1.67 -1.503
1 8 -1.1 3.33 -3.663
3 9 0.9 4.33 3.897
1 10 -1.1 5.33 -5.863
2 2 -0.1 -2.67 0.267
3 4 0.9 -0.67 -0.603
1 5 -1.1 0.33 -0.363
4 6 1.9 1.33 2.527
2 2 -0.1 -2.67 0.267
1 1 -1.1 -3.67 4.037
2 5 -0.1 0.33 -0.033
3 1 0.9 -3.67 -3.303
4 10 1.9 5.33 10.127
3 9 0.9 4.33 3.897
2 5 -0.1 0.33 -0.033
1 1 -1.1 -3.67 4.037
2 3 -0.1 -1.67 0.167
2 2 -0.1 -2.67 0.267
1 5 -1.1 0.33 -0.363
2 8 -0.1 3.33 -0.333
3 9 0.9 4.33 3.897
2 6 -0.1 1.33 -0.133
1 3 -1.1 -1.67 1.837
1 5 -1.1 0.33 -0.363
4 4 1.9 -0.67 -1.273
1 1 -1.1 -3.67 4.037

41
Job satisfaction
1 2 -1.1 -2.67 2.937
2 5 -0.1 0.33 -0.033
2 9 -0.1 4.33 -0.433
2 6 -0.1 1.33 -0.133
1 5 -1.1 0.33 -0.363
3 6 0.9 1.33 1.197
2 1 -0.1 -3.67 0.367
1 3 -1.1 -1.67 1.837
2 8 -0.1 3.33 -0.333
2 9 -0.1 4.33 -0.433
1 10 -1.1 5.33 -5.863
1 2 -1.1 -2.67 2.937
1 4 -1.1 -0.67 0.737
2 5 -0.1 0.33 -0.033
4 6 1.9 1.33 2.527
1 2 -1.1 -2.67 2.937
2 1 -0.1 -3.67 0.367
3 5 0.9 0.33 0.297
2 1 -0.1 -3.67 0.367
1 10 -1.1 5.33 -5.863
1 9 -1.1 4.33 -4.763
3 5 0.9 0.33 0.297
1 1 -1.1 -3.67 4.037
2 3 -0.1 -1.67 0.167
1 2 -1.1 -2.67 2.937
1 5 -1.1 0.33 -0.363
2 8 -0.1 3.33 -0.333
2 9 -0.1 4.33 -0.433
4 6 1.9 1.33 2.527
1 3 -1.1 -1.67 1.837
3 5 0.9 0.33 0.297
3 4 0.9 -0.67 -0.603
2 1 -0.1 -3.67 0.367
2 8 -0.1 3.33 -0.333
3 9 0.9 4.33 3.897
2 6 -0.1 1.33 -0.133
1 3 -1.1 -1.67 1.837
1 5 -1.1 0.33 -0.363
3 4 0.9 -0.67 -0.603
1 1 -1.1 -3.67 4.037
1 2 -1.1 -2.67 2.937
2 5 -0.1 0.33 -0.033
2 9 -0.1 4.33 -0.433

42
Job satisfaction
2 6 -0.1 1.33 -0.133
1 5 -1.1 0.33 -0.363
3 6 0.9 1.33 1.197
2 1 -0.1 -3.67 0.367
1 3 -1.1 -1.67 1.837
4 8 1.9 3.33 6.327
2 9 -0.1 4.33 -0.433
1 10 -1.1 5.33 -5.863
1 2 -1.1 -2.67 2.937
1 4 -1.1 -0.67 0.737
2 5 -0.1 0.33 -0.033
2 6 -0.1 1.33 -0.133
1 2 -1.1 -2.67 2.937
2 1 -0.1 -3.67 0.367
3 5 0.9 0.33 0.297
2 1 -0.1 -3.67 0.367
1 10 -1.1 5.33 -5.863
1 9 -1.1 4.33 -4.763
3 5 0.9 0.33 0.297
1 1 -1.1 -3.67 4.037
2 3 -0.1 -1.67 0.167
1 2 -1.1 -2.67 2.937
1 5 -1.1 0.33 -0.363
2 8 -0.1 3.33 -0.333
3 8 0.9 3.33 2.997
4 6 1.9 1.33 2.527
1 9 -1.1 4.33 -4.763
3 5 0.9 0.33 0.297
1 1 -1.1 -3.67 4.037
2 3 -0.1 -1.67 0.167
1 2 -1.1 -2.67 2.937
1 5 -1.1 0.33 -0.363
2 8 -0.1 3.33 -0.333
2 9 -0.1 4.33 -0.433
3 6 0.9 1.33 1.197
1 3 -1.1 -1.67 1.837
3 5 0.9 0.33 0.297
3 4 0.9 -0.67 -0.603
2.1 4.67 68.9

43
Job satisfaction
Correlation
Years of experience
[X]
Salary(000) salary [Y] XY X^2 Y^2
30 51 51000 1530000 900 2601000000
25 38 38000 950000 625 1444000000
32 51 51000 1632000 1024 2601000000
34 52 52000 1768000 1156 2704000000
33 49 49000 1617000 1089 2401000000
32 54 54000 1728000 1024 2916000000
36 45 45000 1620000 1296 2025000000
32 51 51000 1632000 1024 2601000000
35 52 52000 1820000 1225 2704000000
12 48 48000 576000 144 2304000000
30 57 57000 1710000 900 3249000000
30 49 49000 1470000 900 2401000000
28 45 45000 1260000 784 2025000000
26 51 51000 1326000 676 2601000000
27 49 49000 1323000 729 2401000000
33 56 56000 1848000 1089 3136000000
30 34 34000 1020000 900 1156000000
25 45 45000 1125000 625 2025000000
32 37 37000 1184000 1024 1369000000
34 52 52000 1768000 1156 2704000000
33 47 47000 1551000 1089 2209000000
32 50 50000 1600000 1024 2500000000
36 46 46000 1656000 1296 2116000000
32 47 47000 1504000 1024 2209000000
35 58 58000 2030000 1225 3364000000
12 44 44000 528000 144 1936000000
30 55 55000 1650000 900 3025000000
30 35 35000 1050000 900 1225000000
28 42 42000 1176000 784 1764000000
26 62 62000 1612000 676 3844000000
27 53 53000 1431000 729 2809000000
33 43 43000 1419000 1089 1849000000
30 49 49000 1470000 900 2401000000
25 41 41000 1025000 625 1681000000
32 45 45000 1440000 1024 2025000000
34 62 62000 2108000 1156 3844000000

44
Job satisfaction
33 45 45000 1485000 1089 2025000000
32 57 57000 1824000 1024 3249000000
36 64 64000 2304000 1296 4096000000
32 51 51000 1632000 1024 2601000000
35 55 55000 1925000 1225 3025000000
12 48 48000 576000 144 2304000000
30 45 45000 1350000 900 2025000000
30 41 41000 1230000 900 1681000000
28 53 53000 1484000 784 2809000000
26 40 40000 1040000 676 1600000000
27 54 54000 1458000 729 2916000000
33 44 44000 1452000 1089 1936000000
30 52 52000 1560000 900 2704000000
25 43 43000 1075000 625 1849000000
32 50 50000 1600000 1024 2500000000
34 41 41000 1394000 1156 1681000000
33 52 52000 1716000 1089 2704000000
32 37 37000 1184000 1024 1369000000
36 44 44000 1584000 1296 1936000000
32 51 51000 1632000 1024 2601000000
35 38 38000 1330000 1225 1444000000
12 48 48000 576000 144 2304000000
30 49 49000 1470000 900 2401000000
30 48 48000 1440000 900 2304000000
28 47 47000 1316000 784 2209000000
26 44 44000 1144000 676 1936000000
27 57 57000 1539000 729 3249000000
33 46 46000 1518000 1089 2116000000
30 34 34000 1020000 900 1156000000
25 48 48000 1200000 625 2304000000
32 48 48000 1536000 1024 2304000000
34 47 47000 1598000 1156 2209000000
33 47 47000 1551000 1089 2209000000
32 37 37000 1184000 1024 1369000000
36 47 47000 1692000 1296 2209000000
32 44 44000 1408000 1024 1936000000
35 45 45000 1575000 1225 2025000000
12 53 53000 636000 144 2809000000
30 47 47000 1410000 900 2209000000
30 42 42000 1260000 900 1764000000
28 36 36000 1008000 784 1296000000
26 49 49000 1274000 676 2401000000
27 45 45000 1215000 729 2025000000

45
Job satisfaction
33 44 44000 1452000 1089 1936000000
25 39 39000 975000 625 1521000000
23 41 41000 943000 529 1681000000
25 45 45000 1125000 625 2025000000
27 55 55000 1485000 729 3025000000
28 56 56000 1568000 784 3136000000
26 54 54000 1404000 676 2916000000
23 58 58000 1334000 529 3364000000
22 50 50000 1100000 484 2500000000
20 56 56000 1120000 400 3136000000
25 37 37000 925000 625 1369000000
28 53 53000 1484000 784 2809000000
28 52 52000 1456000 784 2704000000
26 46 46000 1196000 676 2116000000
27 51 51000 1377000 729 2601000000
33 41 41000 1353000 1089 1681000000
25 42 42000 1050000 625 1764000000
23 54 54000 1242000 529 2916000000
25 55 55000 1375000 625 3025000000
27 39 39000 1053000 729 1521000000
28 44 44000 1232000 784 1936000000
26 44 44000 1144000 676 1936000000
23 50 50000 1150000 529 2500000000
22 36 36000 792000 484 1296000000
20 55 55000 1100000 400 3025000000
25 42 42000 1050000 625 1764000000
28 48 48000 1344000 784 2304000000
28 47 47000 1316000 784 2209000000
26 47 47000 1222000 676 2209000000
27 58 58000 1566000 729 3364000000
33 52 52000 1716000 1089 2704000000
25 35 35000 875000 625 1225000000
23 51 51000 1173000 529 2601000000
25 43 43000 1075000 625 1849000000
27 53 53000 1431000 729 2809000000
28 41 41000 1148000 784 1681000000
26 38 38000 988000 676 1444000000
23 43 43000 989000 529 1849000000
22 48 48000 1056000 484 2304000000
20 44 44000 880000 400 1936000000
25 44 44000 1100000 625 1936000000
28 39 39000 1092000 784 1521000000
28 45 45000 1260000 784 2025000000

46
Job satisfaction
26 55 55000 1430000 676 3025000000
27 55 55000 1485000 729 3025000000
33 42 42000 1386000 1089 1764000000
25 36 36000 900000 625 1296000000
23 50 50000 1150000 529 2500000000
25 49 49000 1225000 625 2401000000
27 51 51000 1377000 729 2601000000
28 46 46000 1288000 784 2116000000
26 53 53000 1378000 676 2809000000
23 47 47000 1081000 529 2209000000
22 49 49000 1078000 484 2401000000
20 59 59000 1180000 400 3481000000
25 53 53000 1325000 625 2809000000
28 59 59000 1652000 784 3481000000
28 53 53000 1484000 784 2809000000
26 45 45000 1170000 676 2025000000
27 45 45000 1215000 729 2025000000
33 58 58000 1914000 1089 3364000000
25 51 51000 1275000 625 2601000000
23 45 45000 1035000 529 2025000000
25 60 60000 1500000 625 3600000000
27 42 42000 1134000 729 1764000000
28 49 49000 1372000 784 2401000000
26 44 44000 1144000 676 1936000000
23 46 46000 1058000 529 2116000000
22 39 39000 858000 484 1521000000
20 42 42000 840000 400 1764000000
25 50 50000 1250000 625 2500000000
28 37 37000 1036000 784 1369000000
28 54 54000 1512000 784 2916000000
26 55 55000 1430000 676 3025000000
27 42 42000 1134000 729 1764000000
33 44 44000 1452000 1089 1936000000
25 36 36000 900000 625 1296000000
23 44 44000 1012000 529 1936000000
25 61 61000 1525000 625 3721000000
27 37 37000 999000 729 1369000000
28 53 53000 1484000 784 2809000000
26 46 46000 1196000 676 2116000000
23 60 60000 1380000 529 3600000000
22 65 65000 1430000 484 4225000000
20 43 43000 860000 400 1849000000
25 49 49000 1225000 625 2401000000

47
Job satisfaction
28 48 48000 1344000 784 2304000000
28 36 36000 1008000 784 1296000000
26 41 41000 1066000 676 1681000000
20 51 51000 1020000 400 2601000000
22 59 59000 1298000 484 3481000000
21 40 40000 840000 441 1600000000
23 43 43000 989000 529 1849000000
22 51 51000 1122000 484 2601000000
24 53 53000 1272000 576 2809000000
23 38 38000 874000 529 1444000000
20 33 33000 660000 400 1089000000
21 52 52000 1092000 441 2704000000
20 60 60000 1200000 400 3600000000
20 48 48000 960000 400 2304000000
21 47 47000 987000 441 2209000000
20 51 51000 1020000 400 2601000000
22 50 50000 1100000 484 2500000000
21 53 53000 1113000 441 2809000000
23 40 40000 920000 529 1600000000
22 52 52000 1144000 484 2704000000
24 46 46000 1104000 576 2116000000
23 49 49000 1127000 529 2401000000
20 47 47000 940000 400 2209000000
21 43 43000 903000 441 1849000000
20 42 42000 840000 400 1764000000
20 45 45000 900000 400 2025000000
21 43 43000 903000 441 1849000000
20 35 35000 700000 400 1225000000
22 54 54000 1188000 484 2916000000
21 51 51000 1071000 441 2601000000
18 54 54000 972000 324 2916000000
15 41 41000 615000 225 1681000000
16 45 45000 720000 256 2025000000
14 38 38000 532000 196 1444000000
12 40 40000 480000 144 1600000000
13 44 44000 572000 169 1936000000
15 44 44000 660000 225 1936000000
12 43 43000 516000 144 1849000000
15 45 45000 675000 225 2025000000
14 44 44000 616000 196 1936000000
15 46 46000 690000 225 2116000000
13 46 46000 598000 169 2116000000
12 34 34000 408000 144 1156000000

48
Job satisfaction
12 63 63000 756000 144 3969000000
15 49 49000 735000 225 2401000000
16 42 42000 672000 256 1764000000
14 49 49000 686000 196 2401000000
12 46 46000 552000 144 2116000000
13 44 44000 572000 169 1936000000
15 48 48000 720000 225 2304000000
12 45 45000 540000 144 2025000000
15 42 42000 630000 225 1764000000
14 46 46000 644000 196 2116000000
15 52 52000 780000 225 2704000000
13 32 32000 416000 169 1024000000
12 38 38000 456000 144 1444000000
12 40 40000 480000 144 1600000000
15 33 33000 495000 225 1089000000
16 46 46000 736000 256 2116000000
14 51 51000 714000 196 2601000000
12 55 55000 660000 144 3025000000
13 44 44000 572000 169 1936000000
15 46 46000 690000 225 2116000000
12 49 49000 588000 144 2401000000
15 48 48000 720000 225 2304000000
14 59 59000 826000 196 3481000000
15 46 46000 690000 225 2116000000
13 59 59000 767000 169 3481000000
12 46 46000 552000 144 2116000000
12 35 35000 420000 144 1225000000
15 44 44000 660000 225 1936000000
16 43 43000 688000 256 1849000000
14 54 54000 756000 196 2916000000
12 41 41000 492000 144 1681000000
13 51 51000 663000 169 2601000000
15 47 47000 705000 225 2209000000
12 44 44000 528000 144 1936000000
15 26 26000 390000 225 676000000
14 58 58000 812000 196 3364000000
15 46 46000 690000 225 2116000000
13 45 45000 585000 169 2025000000
12 29 29000 348000 144 841000000
12 60 60000 720000 144 3600000000
10 49 49000 490000 100 2401000000
9 49 49000 441000 81 2401000000
5 48 48000 240000 25 2304000000

49
Job satisfaction
8 51 51000 408000 64 2601000000
5 38 38000 190000 25 1444000000
4 51 51000 204000 16 2601000000
5 52 52000 260000 25 2704000000
8 49 49000 392000 64 2401000000
5 54 54000 270000 25 2916000000
6 45 45000 270000 36 2025000000
9 51 51000 459000 81 2601000000
8 52 52000 416000 64 2704000000
5 48 48000 240000 25 2304000000
5 57 57000 285000 25 3249000000
8 49 49000 392000 64 2401000000
5 45 45000 225000 25 2025000000
6 51 51000 306000 36 2601000000
8 49 49000 392000 64 2401000000
5 56 56000 280000 25 3136000000
8 34 34000 272000 64 1156000000
9 45 45000 405000 81 2025000000
5 37 37000 185000 25 1369000000
8 52 52000 416000 64 2704000000
5 47 47000 235000 25 2209000000
4 50 50000 200000 16 2500000000
5 46 46000 230000 25 2116000000
8 47 47000 376000 64 2209000000
5 58 58000 290000 25 3364000000
6 44 44000 264000 36 1936000000
9 51 51000 459000 81 2601000000
8 52 52000 416000 64 2704000000
5 48 48000 240000 25 2304000000
5 57 57000 285000 25 3249000000
8 49 49000 392000 64 2401000000
5 45 45000 225000 25 2025000000
6 51 51000 306000 36 2601000000
8 49 49000 392000 64 2401000000
3 56 56000 168000 9 3136000000
2 56 56000 112000 4 3136000000
1 45 45000 45000 1 2025000000
2 37 37000 74000 4 1369000000
3 52 52000 156000 9 2704000000
2 47 47000 94000 4 2209000000
1 50 50000 50000 1 2500000000
5 46 46000 230000 25 2116000000
3 47 47000 141000 9 2209000000

50
Job satisfaction
2 58 58000 116000 4 3364000000
1 44 44000 44000 1 1936000000
2 37 37000 74000 4 1369000000
3 52 52000 156000 9 2704000000
2 47 47000 94000 4 2209000000
1 50 50000 50000 1 2500000000
Total = 6212 Total
=14208000
Total =
294254000
Total =
155830
Total =
6.86224E+11
Correlation =
n ( ∑ xy ) −(∑ x )(∑ y )
√ [ n∑ x2− ( ∑ x )
2
] ¿ ¿ ¿
= 16104000
√ 8160056∗3.999936∗1012
= 0.0028188
Regression
Salary(000
)
Salary
[X]
Life Happiness Score (1-
10) [Y]
X^2 XY y^2
51 51000 5 2601000000 255000 25
38 38000 6 1444000000 228000 36
51 51000 1 2601000000 51000 1
52 52000 3 2704000000 156000 9
49 49000 8 2401000000 392000 64
54 54000 9 2916000000 486000 81
45 45000 10 2025000000 450000 100
51 51000 2 2601000000 102000 4
52 52000 4 2704000000 208000 16
48 48000 5 2304000000 240000 25
57 57000 6 3249000000 342000 36
49 49000 2 2401000000 98000 4
45 45000 1 2025000000 45000 1
51 51000 5 2601000000 255000 25
49 49000 1 2401000000 49000 1
56 56000 10 3136000000 560000 100
34 34000 9 1156000000 306000 81
45 45000 5 2025000000 225000 25
37 37000 1 1369000000 37000 1
52 52000 3 2704000000 156000 9
47 47000 2 2209000000 94000 4

51
Job satisfaction
50 50000 5 2500000000 250000 25
46 46000 8 2116000000 368000 64
47 47000 9 2209000000 423000 81
58 58000 6 3364000000 348000 36
44 44000 3 1936000000 132000 9
55 55000 5 3025000000 275000 25
35 35000 4 1225000000 140000 16
42 42000 1 1764000000 42000 1
62 62000 2 3844000000 124000 4
53 53000 5 2809000000 265000 25
43 43000 9 1849000000 387000 81
49 49000 6 2401000000 294000 36
41 41000 5 1681000000 205000 25
45 45000 6 2025000000 270000 36
62 62000 1 3844000000 62000 1
45 45000 3 2025000000 135000 9
57 57000 8 3249000000 456000 64
64 64000 9 4096000000 576000 81
51 51000 10 2601000000 510000 100
55 55000 2 3025000000 110000 4
48 48000 4 2304000000 192000 16
45 45000 5 2025000000 225000 25
41 41000 6 1681000000 246000 36
53 53000 2 2809000000 106000 4
40 40000 1 1600000000 40000 1
54 54000 5 2916000000 270000 25
44 44000 1 1936000000 44000 1
52 52000 10 2704000000 520000 100
43 43000 9 1849000000 387000 81
50 50000 5 2500000000 250000 25
41 41000 1 1681000000 41000 1
52 52000 3 2704000000 156000 9
37 37000 2 1369000000 74000 4
44 44000 5 1936000000 220000 25
51 51000 8 2601000000 408000 64
38 38000 9 1444000000 342000 81
48 48000 6 2304000000 288000 36
49 49000 3 2401000000 147000 9
48 48000 5 2304000000 240000 25
47 47000 4 2209000000 188000 16
44 44000 1 1936000000 44000 1
57 57000 2 3249000000 114000 4
46 46000 5 2116000000 230000 25

52
Job satisfaction
34 34000 9 1156000000 306000 81
48 48000 6 2304000000 288000 36
48 48000 2 2304000000 96000 4
47 47000 1 2209000000 47000 1
47 47000 3 2209000000 141000 9
37 37000 3 1369000000 111000 9
47 47000 1 2209000000 47000 1
44 44000 2 1936000000 88000 4
45 45000 2 2025000000 90000 4
53 53000 3 2809000000 159000 9
47 47000 4 2209000000 188000 16
42 42000 1 1764000000 42000 1
36 36000 1 1296000000 36000 1
49 49000 3 2401000000 147000 9
45 45000 4 2025000000 180000 16
44 44000 5 1936000000 220000 25
39 39000 1 1521000000 39000 1
41 41000 10 1681000000 410000 100
45 45000 9 2025000000 405000 81
55 55000 5 3025000000 275000 25
56 56000 1 3136000000 56000 1
54 54000 3 2916000000 162000 9
58 58000 2 3364000000 116000 4
50 50000 5 2500000000 250000 25
56 56000 8 3136000000 448000 64
37 37000 9 1369000000 333000 81
53 53000 6 2809000000 318000 36
52 52000 3 2704000000 156000 9
46 46000 5 2116000000 230000 25
51 51000 4 2601000000 204000 16
41 41000 1 1681000000 41000 1
42 42000 5 1764000000 210000 25
54 54000 6 2916000000 324000 36
55 55000 1 3025000000 55000 1
39 39000 3 1521000000 117000 9
44 44000 8 1936000000 352000 64
44 44000 9 1936000000 396000 81
50 50000 10 2500000000 500000 100
36 36000 2 1296000000 72000 4
55 55000 4 3025000000 220000 16
42 42000 5 1764000000 210000 25
48 48000 6 2304000000 288000 36
47 47000 2 2209000000 94000 4

53
Job satisfaction
47 47000 1 2209000000 47000 1
58 58000 5 3364000000 290000 25
52 52000 1 2704000000 52000 1
35 35000 10 1225000000 350000 100
51 51000 9 2601000000 459000 81
43 43000 5 1849000000 215000 25
53 53000 1 2809000000 53000 1
41 41000 3 1681000000 123000 9
38 38000 2 1444000000 76000 4
43 43000 5 1849000000 215000 25
48 48000 8 2304000000 384000 64
44 44000 9 1936000000 396000 81
44 44000 6 1936000000 264000 36
39 39000 3 1521000000 117000 9
45 45000 5 2025000000 225000 25
55 55000 4 3025000000 220000 16
55 55000 1 3025000000 55000 1
42 42000 2 1764000000 84000 4
36 36000 5 1296000000 180000 25
50 50000 9 2500000000 450000 81
49 49000 6 2401000000 294000 36
51 51000 5 2601000000 255000 25
46 46000 6 2116000000 276000 36
53 53000 1 2809000000 53000 1
47 47000 3 2209000000 141000 9
49 49000 8 2401000000 392000 64
59 59000 9 3481000000 531000 81
53 53000 10 2809000000 530000 100
59 59000 2 3481000000 118000 4
53 53000 4 2809000000 212000 16
45 45000 5 2025000000 225000 25
45 45000 6 2025000000 270000 36
58 58000 2 3364000000 116000 4
51 51000 1 2601000000 51000 1
45 45000 5 2025000000 225000 25
60 60000 1 3600000000 60000 1
42 42000 10 1764000000 420000 100
49 49000 9 2401000000 441000 81
44 44000 5 1936000000 220000 25
46 46000 1 2116000000 46000 1
39 39000 3 1521000000 117000 9
42 42000 2 1764000000 84000 4
50 50000 5 2500000000 250000 25

54
Job satisfaction
37 37000 8 1369000000 296000 64
54 54000 9 2916000000 486000 81
55 55000 6 3025000000 330000 36
42 42000 3 1764000000 126000 9
44 44000 5 1936000000 220000 25
36 36000 4 1296000000 144000 16
44 44000 1 1936000000 44000 1
61 61000 2 3721000000 122000 4
37 37000 5 1369000000 185000 25
53 53000 9 2809000000 477000 81
46 46000 6 2116000000 276000 36
60 60000 2 3600000000 120000 4
65 65000 1 4225000000 65000 1
43 43000 3 1849000000 129000 9
49 49000 3 2401000000 147000 9
48 48000 1 2304000000 48000 1
36 36000 2 1296000000 72000 4
41 41000 2 1681000000 82000 4
51 51000 3 2601000000 153000 9
59 59000 4 3481000000 236000 16
40 40000 1 1600000000 40000 1
43 43000 1 1849000000 43000 1
51 51000 3 2601000000 153000 9
53 53000 4 2809000000 212000 16
38 38000 5 1444000000 190000 25
33 33000 1 1089000000 33000 1
52 52000 10 2704000000 520000 100
60 60000 9 3600000000 540000 81
48 48000 5 2304000000 240000 25
47 47000 1 2209000000 47000 1
51 51000 3 2601000000 153000 9
50 50000 2 2500000000 100000 4
53 53000 5 2809000000 265000 25
40 40000 8 1600000000 320000 64
52 52000 9 2704000000 468000 81
46 46000 6 2116000000 276000 36
49 49000 3 2401000000 147000 9
47 47000 5 2209000000 235000 25
43 43000 4 1849000000 172000 16
42 42000 1 1764000000 42000 1
45 45000 5 2025000000 225000 25
43 43000 6 1849000000 258000 36
35 35000 1 1225000000 35000 1

55
Job satisfaction
54 54000 3 2916000000 162000 9
51 51000 8 2601000000 408000 64
54 54000 9 2916000000 486000 81
41 41000 10 1681000000 410000 100
45 45000 2 2025000000 90000 4
38 38000 4 1444000000 152000 16
40 40000 5 1600000000 200000 25
44 44000 6 1936000000 264000 36
44 44000 2 1936000000 88000 4
43 43000 1 1849000000 43000 1
45 45000 5 2025000000 225000 25
44 44000 1 1936000000 44000 1
46 46000 10 2116000000 460000 100
46 46000 9 2116000000 414000 81
34 34000 5 1156000000 170000 25
63 63000 1 3969000000 63000 1
49 49000 3 2401000000 147000 9
42 42000 2 1764000000 84000 4
49 49000 5 2401000000 245000 25
46 46000 8 2116000000 368000 64
44 44000 9 1936000000 396000 81
48 48000 6 2304000000 288000 36
45 45000 3 2025000000 135000 9
42 42000 5 1764000000 210000 25
46 46000 4 2116000000 184000 16
52 52000 1 2704000000 52000 1
32 32000 2 1024000000 64000 4
38 38000 5 1444000000 190000 25
40 40000 9 1600000000 360000 81
33 33000 6 1089000000 198000 36
46 46000 5 2116000000 230000 25
51 51000 6 2601000000 306000 36
55 55000 1 3025000000 55000 1
44 44000 3 1936000000 132000 9
46 46000 8 2116000000 368000 64
49 49000 9 2401000000 441000 81
48 48000 10 2304000000 480000 100
59 59000 2 3481000000 118000 4
46 46000 4 2116000000 184000 16
59 59000 5 3481000000 295000 25
46 46000 6 2116000000 276000 36
35 35000 2 1225000000 70000 4
44 44000 1 1936000000 44000 1

56
Job satisfaction
43 43000 5 1849000000 215000 25
54 54000 1 2916000000 54000 1
41 41000 10 1681000000 410000 100
51 51000 9 2601000000 459000 81
47 47000 5 2209000000 235000 25
44 44000 1 1936000000 44000 1
26 26000 3 676000000 78000 9
58 58000 2 3364000000 116000 4
46 46000 5 2116000000 230000 25
45 45000 8 2025000000 360000 64
29 29000 9 841000000 261000 81
60 60000 6 3600000000 360000 36
49 49000 3 2401000000 147000 9
49 49000 5 2401000000 245000 25
48 48000 4 2304000000 192000 16
51 51000 1 2601000000 51000 1
38 38000 8 1444000000 304000 64
51 51000 9 2601000000 459000 81
52 52000 6 2704000000 312000 36
49 49000 3 2401000000 147000 9
54 54000 5 2916000000 270000 25
45 45000 4 2025000000 180000 16
51 51000 1 2601000000 51000 1
52 52000 2 2704000000 104000 4
48 48000 5 2304000000 240000 25
57 57000 9 3249000000 513000 81
49 49000 6 2401000000 294000 36
45 45000 5 2025000000 225000 25
51 51000 6 2601000000 306000 36
49 49000 1 2401000000 49000 1
56 56000 3 3136000000 168000 9
34 34000 8 1156000000 272000 64
45 45000 9 2025000000 405000 81
37 37000 10 1369000000 370000 100
52 52000 2 2704000000 104000 4
47 47000 4 2209000000 188000 16
50 50000 5 2500000000 250000 25
46 46000 6 2116000000 276000 36
47 47000 2 2209000000 94000 4
58 58000 1 3364000000 58000 1
44 44000 5 1936000000 220000 25
51 51000 1 2601000000 51000 1
52 52000 10 2704000000 520000 100

57
Job satisfaction
48 48000 9 2304000000 432000 81
57 57000 5 3249000000 285000 25
49 49000 1 2401000000 49000 1
45 45000 3 2025000000 135000 9
51 51000 2 2601000000 102000 4
49 49000 5 2401000000 245000 25
56 56000 8 3136000000 448000 64
56 56000 8 3136000000 448000 64
45 45000 6 2025000000 270000 36
37 37000 9 1369000000 333000 81
52 52000 5 2704000000 260000 25
47 47000 1 2209000000 47000 1
50 50000 3 2500000000 150000 9
46 46000 2 2116000000 92000 4
47 47000 5 2209000000 235000 25
58 58000 8 3364000000 464000 64
44 44000 9 1936000000 396000 81
37 37000 6 1369000000 222000 36
52 52000 3 2704000000 156000 9
47 47000 5 2209000000 235000 25
50 50000 4 2500000000 200000 16
14208000 1401 6.86224E+1
1
66090000 8925
a = ( ∑ y ) ( ∑ y2 ) −(∑ x)(∑ xy )
n ( ∑ x2 )− ( ∑ x )
2
= 1401∗8925−14208000∗66090000
300 ( 6.86224∗1011 ) − ( 14208000 )2
= -234.755
b = n (∑ xy )−(∑ x )(∑ y )
n ( ∑ x2 )− (∑ x )2
= 300∗66090000−14208000∗1401
300∗6.86224∗1011−142080002
Y = -234.755 + 0.00006123x

58
Job satisfaction
Chi – square
X2 = x0.01(1)
= 2.7055
Yes No Total
Married 212 88 300
Single 283 17 300
Total 495 105 600
e1=
300∗495
600 = 247.5
e2=
300∗105
600 = 5.25
e3=
300∗495
600 = 247.5
e4=
300∗105
600 = 5.25
Oij eij Oij−eij
eij
212 247.5 5.092
88 5.25 1304.3
283 247.5 5.092
17 5.25 26.298
Total = 1340.78
Z – Test
Salary(000) salart
[X]
Age
51 51000 60
38 38000 60
51 51000 60
52 52000 58
49 49000 58
54 54000 58
45 45000 56
51 51000 56

59
Job satisfaction
52 52000 56
48 48000 56
57 57000 56
49 49000 56
45 45000 54
51 51000 54
49 49000 54
56 56000 54
34 34000 54
45 45000 54
37 37000 54
52 52000 54
47 47000 54
50 50000 54
46 46000 54
47 47000 54
58 58000 54
44 44000 54
55 55000 54
35 35000 54
42 42000 54
62 62000 60
53 53000 60
43 43000 60
49 49000 60
41 41000 58
45 45000 58
62 62000 58
45 45000 56
57 57000 56
64 64000 56
51 51000 56
55 55000 56
48 48000 56
45 45000 54
41 41000 54
53 53000 54
40 40000 54
54 54000 54
44 44000 54
52 52000 54
43 43000 54
50 50000 54

60
Job satisfaction
41 41000 54
52 52000 54
37 37000 54
44 44000 54
51 51000 54
38 38000 54
48 48000 54
49 49000 54
48 48000 54
47 47000 54
44 44000 54
57 57000 54
46 46000 54
34 34000 54
48 48000 54
48 48000 52
47 47000 52
47 47000 52
37 37000 52
47 47000 52
44 44000 52
45 45000 50
53 53000 50
47 47000 50
42 42000 50
36 36000 50
49 49000 50
45 45000 50
44 44000 50
39 39000 50
41 41000 48
45 45000 48
55 55000 48
56 56000 48
54 54000 48
58 58000 48
50 50000 48
56 56000 48
37 37000 48
53 53000 48
52 52000 48
46 46000 48
51 51000 48

61
Job satisfaction
41 41000 48
42 42000 48
54 54000 48
55 55000 48
39 39000 48
44 44000 46
44 44000 46
50 50000 46
36 36000 46
55 55000 46
42 42000 46
48 48000 46
47 47000 46
47 47000 46
58 58000 46
52 52000 46
35 35000 46
51 51000 46
43 43000 46
53 53000 46
41 41000 46
38 38000 46
43 43000 46
48 48000 46
44 44000 46
44 44000 46
39 39000 46
45 45000 46
55 55000 46
55 55000 46
42 42000 46
36 36000 46
50 50000 44
49 49000 44
51 51000 44
46 46000 44
53 53000 44
47 47000 44
49 49000 44
59 59000 44
53 53000 44
59 59000 44
53 53000 44

62
Job satisfaction
45 45000 44
45 45000 44
58 58000 44
51 51000 44
45 45000 44
60 60000 44
42 42000 44
49 49000 44
44 44000 44
46 46000 44
39 39000 42
42 42000 42
50 50000 42
37 37000 42
54 54000 42
55 55000 42
42 42000 42
44 44000 42
36 36000 42
44 44000 42
61 61000 42
37 37000 42
53 53000 42
46 46000 42
60 60000 42
65 65000 42
43 43000 42
49 49000 42
48 48000 42
36 36000 42
41 41000 42
51 51000 40
59 59000 40
40 40000 40
43 43000 40
51 51000 40
53 53000 40
38 38000 40
33 33000 40
52 52000 40
60 60000 40
48 48000 40
47 47000 40

63
Job satisfaction
51 51000 38
50 50000 38
53 53000 38
40 40000 38
52 52000 38
46 46000 38
49 49000 38
47 47000 38
43 43000 38
42 42000 38
45 45000 38
43 43000 38
35 35000 38
54 54000 38
51 51000 38
54 54000 36
41 41000 36
45 45000 36
38 38000 36
40 40000 36
44 44000 36
44 44000 36
43 43000 36
45 45000 36
44 44000 36
46 46000 36
46 46000 36
34 34000 36
63 63000 36
49 49000 36
42 42000 36
49 49000 36
46 46000 36
44 44000 34
48 48000 34
45 45000 34
42 42000 34
46 46000 34
52 52000 34
32 32000 34
38 38000 34
40 40000 34
33 33000 32

64
Job satisfaction
46 46000 32
51 51000 32
55 55000 32
44 44000 32
46 46000 32
49 49000 32
48 48000 32
59 59000 32
46 46000 32
59 59000 32
46 46000 32
35 35000 32
44 44000 32
43 43000 32
54 54000 32
41 41000 32
51 51000 32
47 47000 32
44 44000 32
26 26000 32
58 58000 32
46 46000 32
45 45000 32
29 29000 30
60 60000 30
49 49000 30
49 49000 30
48 48000 30
51 51000 30
38 38000 30
51 51000 30
52 52000 30
49 49000 30
54 54000 30
45 45000 30
51 51000 30
52 52000 30
48 48000 30
57 57000 30
49 49000 30
45 45000 30
51 51000 30
49 49000 30

65
Job satisfaction
56 56000 30
34 34000 30
45 45000 30
37 37000 30
52 52000 28
47 47000 28
50 50000 28
46 46000 28
47 47000 28
58 58000 28
44 44000 28
51 51000 28
52 52000 28
48 48000 28
57 57000 28
49 49000 28
45 45000 28
51 51000 28
49 49000 28
56 56000 24
56 56000 24
45 45000 24
37 37000 22
52 52000 22
47 47000 22
50 50000 22
46 46000 22
47 47000 22
58 58000 20
44 44000 20
37 37000 20
52 52000 20
47 47000 20
50 50000 20
Mean = 47360 41.88
S.D 6677.752 10.17895

66
Job satisfaction
T – Test
Life Happiness Score
(1-10)
Number Male and
female
5 1
6 1
1 1
3 1
8 1
9 1
10 1
2 1
4 1
5 1
6 1
2 1
1 1
5 1
1 1
10 1
9 1
5 1
1 1
3 1
2 1
5 1
8 1
9 1
6 1
3 1
5 1
4 1
1 1
2 1
5 1
9 1
6 1
5 1
6 1
1 1
3 1
8 1
9 1

67
Job satisfaction
10 1
2 1
4 1
5 1
6 1
2 1
1 1
5 1
1 1
10 1
9 1
5 1
1 1
3 1
2 1
5 1
8 1
9 1
6 1
3 1
5 1
4 1
1 1
2 1
5 1
9 1
6 1
2 1
1 1
3 1
3 1
1 1
2 1
2 1
3 1
4 1
1 1
1 1
3 1
4 1
5 1
1 1
10 1

68
Job satisfaction
9 1
5 1
1 1
3 1
2 1
5 1
8 1
9 1
6 1
3 1
5 1
4 1
1 1
5 1
6 1
1 1
3 1
8 1
9 1
10 1
2 1
4 1
5 1
6 1
2 1
1 1
5 1
1 1
10 1
9 1
5 1
1 1
3 1
2 1
5 1
8 1
9 1
6 1
3 1
5 1
4 1
1 1
2 1

69
Job satisfaction
5 1
9 1
6 1
5 1
6 1
1 1
3 1
8 1
9 1
10 1
2 1
4 1
5 1
6 1
2 1
1 1
5 1
1 1
10 1
9 1
5 1
1 1
3 1
2 1
5 1
8 1
9 1
6 1
3 1
5 1
4 1
1 1
2 1
5 1
9 1
6 1
2 1
1 1
3 1
3 1
1 1
2 1
2 1

70
Job satisfaction
3 1
4 1
1 1
1 1
3 1
4 1
5 1
1 1
10 1
9 1
5 1
1 1
3 1
2 1
5 1
8 1
9 1
6 1
3 1
5 1
4 1
1 1
5 1
6 1
1 1
3 1
8 1
9 1
10 1
2 1
4 1
5 1
6 1
2 1
1 1
5 1
1 1
10 1
9 1
5 1
1 1
3 1
2 1

71
Job satisfaction
5 1
8 1
9 1
6 1
3 1
5 1
4 1
1 1
2 1
5 1
9 1
6 1
5 1
6 1
1 1
3 1
8 1
9 1
10 1
2 1
4 1
5 1
6 1
2 1
1 1
5 1
1 1
10 1
9 1
5 1
1 1
3 1
2 1
5 1
8 1
9 1
6 1
3 1
5 1
4 1
1 1
8 1
9 1

72
Job satisfaction
6 1
3 1
5 1
4 1
1 1
2 1
5 1
9 1
6 1
5 1
6 1
1 1
3 1
8 1
9 1
10 1
2 1
4 1
5 1
6 1
2 1
1 1
5 1
1 1
10 1
9 1
5 1
1 1
3 1
2 1
5 1
8 1
8 1
6 1
9 1
5 1
1 1
3 1
2 1
5 1
8 1
9 1
6 1

73
Job satisfaction
3 1
5 1
4 1
T - test 1.16809E-66