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STATISTICAL ANALYSIS OF EMPLOYEES PATTERNS
CHINTHA DAMMI KALUARACHCHI
MIT/2008/026
MIT 4060
TAKE HOME ASSIGNMENT -01
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ABSTRACT
In this study Hope to Identify the Gender patterns and other special patterns of
their employees. In this case large research institute had collected data about
their 100 employees. They have used questionnaires to collect these data. Using
these collected data they have done statistical analysis using SPSS.
In this report I have analyzed data numerically as well as graphically. After each
analyze I have interpret the findings of that analyze. In statistics a distinction is
made between descriptive and inferential statistics. Descriptive statistics have
simply report or summarize counts, percentages, or averages, based upon the
given data set.
This report will describe the data provided to me, how it was processed, the
statistical methodology, and the results of my analysis. The analyses described
here are gender patterns and other significant patterns of their employees.
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TABLE OF CONTENTS
ABSTRACT..........................................................................................................................................................................................2
INTRODUCTION................................................................................................................................................................................4
OBJECTIVES .......................................................................................................................................................................................5
DATA...................................................................................................................................................................................................5
SIZE AND GROWTH ................................................................................................................................................................7
GOB CATEGORY ......................................................................................................................................................................8
MEMBERSHIPS ........................................................................................................................................................................9
SALARY VARIATIONS ...........................................................................................................................................................10
AGE VARIATIONS..................................................................................................................................................................12
JOB CHANGING.....................................................................................................................................................................13
DISCUSSIONS ..................................................................................................................................................................................13
SUMMARY.......................................................................................................................................................................................14
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INTRODUCTION
The purpose of this study was to obtain descriptive summaries of computer data,
and prepare various statistical analyses relevant to the issues in the case. In this
study I haveexamined statistics pertaining to workforcesummaries, advancement
patterns, and compensation levels.
In order to conduct this study, I have provided with computer-readable personnel
and compensation data received through questionnaires from company
employees about their job categories, memberships working locations as well as
job moves and payroll systems. In the questionnaire included major 7 questions.
Those are current category of employees, membership levels, job location,
gender, age, monthly salary and job moves of their employees. A sample of 100
questionnaires was collected and those data have observed and analyzed in this
report.
This report will describe the data provided to me, how it was processed, the
statistical methodology, and the results of my analysis. The analyses described
here are gender patterns and other significant patterns of their employees.
SIZE
As a sample 100 Employees has selected and have collected their data through
questionnaires.
DESCRIPTION OF WORKFORCE
In this research institute there are four employment categories. Those are
Analyst, Manager, Consultant and Academic. These employees holding different
memberships according to their qualifications. This institute having many
locations such as Colombo, Gampaha, Kaluthara, Kandy and Galle. Both Male and
Female workers areworking in this institute. These employees are in different age
groups and they get their salary according to the job category and the experience.
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OBJECTIVES
Main Objective is this report is to analyzethe given data set graphically and
numerically to understand the significant patterns of their employees.
To define and interpret findings that we have by analyzing those data.
Easily understand the significantpatterns using those interpretations.
Finally to make important decisions using those analyzed data.
DATA
Categorical and Numerical Variables
Categorical Variable (qualitative) Numerical Variable (quantitative)
Job Category Age ---Discrete
Membership Salary---Continuous
Location Job Moves---Discrete
Gender
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DATA VIEW OF THE DATA SHEET
VARIABLEVIEW OF THEDATA SHEET
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SIZE AND GROWTH
This research institute is big and has been steadily growing. During the time period that sample
data collected there were five locations of the company. Those are Colombo, Gampaha,
Kaluthara, Kandy and Galle.
Graph 1 below shows the number of men and women working at year 2010 in each location of
the institute.
Figure 01
Number of Male and Female Employees by Location, 2010
According to the Figure 01 during the time period through 2010 the number employees in
research institute worked five different locations. From those employees most of the
employees were male and that were 79%. Female workers were 21%. Most of the workers
worked to the Galle branch and that were 53%. Kandy and Kaluthara came in to the second
place and it was 20%. Gampaha came in to fourth and Colombo was fifth with 4% and 3%
respectively. According to the above figure 01 Female workers were less than 20% in the each
location. Maximum Female workers worked in the Galle branch and it also less than 15%. The
Special pattern that I could observe is, in the Colombo branch there were not any Female
employees and kaluthara and kandy had same amount of Male and Female employees. By
analyzing above data can assume that largest location is in Galle and smallest one is located in
Colombo.
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Table 01
Total number of Male and Female workers ,2010
Frequency Percent Valid Percent Cumulative Percent
Valid Female 21 21.0 21.0 21.0
Male 79 79.0 79.0 100.0
Total 100 100.0 100.0
Above table 01 shows the number of Male and Female Employees in the research institute.
Total number of employees were 100 and 79 were Male and 21 were Female. Majority were
Male Employees in this Institute.
GOB CATEGORY
Research institute employees include the four categories of employees. Those categories are
Analyst, Manager, Consultant and Academic.
In order to the above table 02 most of the Employees were Managers and it is 33%.It has
proved the below Statistics because mode value is 2. No 2 represent Managers position in the
data sheet. Secondly there were 28% Analysts and 22% Academic employees worked to the
research institute. Few consultants worked to the institute and it is 17%.
Below figure 02 shows number of Male and Female workers of each employment category.
Table 02
Employment Category ,2010
Frequency Percent Valid Percent
Cumulative
Percent
Valid Analyst 28 28.0 28.0 28.0
Manager 33 33.0 33.0 61.0
Consultant 17 17.0 17.0 78.0
Academic 22 22.0 22.0 100.0
Total 100 100.0 100.0
Statistics
EmploymentCategory
N Valid 100
Missing 0
Median 2.00
Mode 2
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Figure 02
Number of Male and Female Employees of each Employment Category, 2010
Figure 02 illustrates that no of Male and Female employees were in the each employment
Category. Most of the Male Employees were Managers and it is 29%. Most of the Female
employees were Academic staff and it is 7%. Same numbers of Female employees were
worked as managers and Consultants. It was 4%.
MEMBERSHIP
Figure 03 shows number of Employees of each Membership according to the Gender.
Figure 03
Number of Male and Female Employees of each membership, 2010
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Figure 03 illustrate that number of Male and Female Employees of Each Membership. Most of
the Females were Fellows and Most of the Males were Member. If we examine Graduate
members it had Majority of Males. Fellows were slightly larger than Members. But Graduate
Employees were less than both Member and Fellows. Male Graduates were 18 and Female 5.
Table 03
Number of Employees of each Membership,2010
Frequency Percent Valid Percent
Cumulative
Percent
Valid Graduate 23 23.0 23.0 23.0
Member 38 38.0 38.0 61.0
Fellow 39 39.0 39.0 100.0
Total 100 100.0 100.0
According to the Table 03 , 23 Employees were graduates ,38 Employees were Members and
other 39 Employees were Graduates.
SALARY VARIATIONS
I examined whether the pay rate differences between Employees changed over time. The
following chart shows the initial differences in salary of all the Employees 2010,
Table 03
Minimum, Maximum and Sum of Employments salaries, 2010
N Minimum Maximum Sum Std. Deviation Variance
Salary 100 16.20 45.40 3,179.10 6.21497 38.626
Valid N 100
According to the above Table 03 Minimum Salary of the Institute was 16.2. It was young
Analyst‘s Salary. The maximum Salary was 45.4 and this Salary had one of the managers in the
Institute. The institute Spend 3179.10 amount per month as Employments salary.
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Table 04
Average Salary of All Employees, 2010
N Valid 100
Missing 0
Mean 31.7910
Median 31.3500
Table 04 illustrate that Average Employments Salary is 31.7910.
Below Figure 04 point up that Males and Females Salary distribution.
Figure 04
Differences between Males and Females Salary Distribution, 2010
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Above Figure 04 point up that Females Salary Scale is slightly larger than Males Salary Scale.
According to the above figure 04 highest Salary was 45.4 and it has in use by Female Employee.
The lowest Salary is 16.2 has taken by Male Employee.
AGE VARIATIONS
Below Figure 05 illustrates that the Age differences of Male and Female Employees.
Figure 05
Age Differences of Males and Female Employees, 2010
According to the above box plot even though there are slight differences both Male and
Females Age distribution is quite similar. Youngest employee was in 21 and oldest employee is
in 60. Both Male and Female youngest employees was in 21. Both Male and Female oldest
employees was in 60. But median values are different. If consider Female box-plot it has
positively skewed distribution has the median off-center and generally to the left. The left hand
whisker is short while the right hand whisker is long. It reflects the gradual tailing off of data
values to the right. Male one also shows the same pattern.
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JOB CHANGING
Below table represent that the number of job changes by their Employees.
According to the table 05 most of the employees haven’t change their jobs. 70% employees are
still doing their first jobs. Only 26% employees have left their first jobs and have joined to the
research institute. 4% employees have left their jobs twice and as a third job they have joined
to the research institute. By examine this table 05 I can assume that most of the workers have
come to the institute without any work experiences. Only 30% employees have come with
previous experiences.
DISCUSSIONS
According to the above analyzed data there are many significant patterns and observing those
patterns we can come in to the certain discussions.
First figure shows that majority of the employees were Male employees. They were 79% of the
total employees. I assume that this institute is favored to appoint Male workers than the
Female workers. As well as large number of employees are working at Galle. It seems research
Institute’s head office or largest branch is in Galle.
By examine employment category most of the employees were Managers. It seems that
management roles are the most important activities of the research institute. Sometimes that is
the reason to have more managers. Moreover they have taken only few Consultants. May be
High consultation fees tend to have few consultants. In this study most of the Male Employees
were Managers and it is 29% and it seems that most of the Male workers like to be a Manager.
As well as most of the Female employees were Academic staff and it is 7%. It can assume that
Table 05
Job changing frequency, 2010
Frequency Percent Valid Percent
Cumulative
Percent
Valid 0 70 70.0 70.0 70.0
1 26 26.0 26.0 96.0
2 4 4.0 4.0 100.0
Total 100 100.0 100.0
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female employees like to be an Academic staff member. According to the Figure 03 most of the
Male employees had Member membership and most of the Female employees had Fellow
membership. On the other hand both Male and Female Graduates were less than the other
memberships. It seems that Education level is bit lower of these employees. If we compare
Male and Female employees in this institute, Male employee’s education level is higher than
the Females.
According to the above Table 03 Minimum Salary of the Institute was 16.2. The maximum
Salary was 45.4. The institute Spend 3179.10 amount per month as Employments salary. These
details illustrates that this research institute spend a large amount of money for their
Employees salary. Table 04 illustrate that Average Employments Salary is 31.7910. It shows that
this institutes Salary scale is High. According to the job moves table most of the employees
(70%) has joined to the institute as their first job and still they work to research institute. These
records Illustrates that Institute’s employees have satisfied about their jobs. More over the
institute also like to appoint fresh employees than taking experience employees because they
have appointed more freshers than experience employees.
According to the above all the analysis I can assume that this research institute is big and has
been steadily growing. Employees also have satisfied about their jobs.
SUMMARY
In this report, have been analyzed particular data which collected from the employees of the
research institute. Those data has been collected through the questionnaires. Those data has
been analyzed graphically as well as numerically.
According to the given data large numbers of employees were working at Galle branch. If we
compare Male employees (79) were larger than the Female Employees (21). Most of the
Employees were Managers (33) and less number of employees was Consultants (17).
Those data illustrate that graduates (23) are less than the members (38) and fellows (39).
According to the Table 03 Minimum Salary of the Institute was 16.2. The maximum Salary was
45.4 and the Average Employments Salary is 31.7910. The institute Spend 3179.10 amount per
month as Employments salary. Female’s salary Scale is bit high than the Male’s salary scale.
More over most of the employees haven’t changed their gob. There are no considerable age
differences between Male and Female Employees.
