Analysis: Comparing Job Satisfaction, Covariance, and Gender Differences for Improved Employee Happiness

Analysis
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Name
Institution
Course

Analysis
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Introduction
The analyses to be conducted are to compare the standard and variance between job satisfaction before
training and after training. To determine covariance between the job satisfaction score before training’
and life happiness score and to show whether they change in the same direction. To conduct an
independent sample T-test by determining whether there is a statistically significant difference in ‘life
happiness score' between two groups of male and female staff. To conduct a Z-score analysis to
determine how many standard deviations are above or under average ‘Salary’ and ‘Age’ area and
whether there are any outliers. To carry out a chi-square to test whether there is a difference between
marital status and promotion. To determine the correlation between the years of experience and the
salary. Finally, to conduct a regression analysis to determine whether salary determined life's
happiness.
Problem definition and business intelligence
The real problem is focused on is the employees' job satisfaction. It was found that employees' job
satisfaction had been deteriorating. A research was conducted to determine the job satisfaction of the
employees. This aimed to improve employees’ satisfaction from the results of the analysis. The analysis
techniques to be used to study the data are correlation, regression, chi-square test and Independent
sample T-test.
Variance/ Standard deviation
The objective of this section is to compare the standard deviation and variance difference between job
satisfaction before and after training.
Table 1: Standard deviation and variance of job satisfaction before and after training

Analysis
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Table 1 shows the variance and the standard deviation of the job satisfaction before and after training.
The difference of standard deviation between job satisfaction before and after training is 0.127. The
difference between the variance of the job satisfaction before and after training is 0.259. These results
show that there is no meaningful difference between them.
Covariance
Table 2: Covariance between job satisfaction before the training and the life happiness
From Table 2, the covariance between Job satisfaction before training and Life happiness obtained is
0.230. The two variables vary in the same direction because the value of the covariance is positive.
Independent sample T-test
The aim of this part is to determine the statistically significant difference in ‘life happiness score'
between two groups of male and female staff.
Table 3: Independent sample T-test of life happiness score and the gender of the staffs