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# Statistical analysis of employees pattern1

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### Statistical analysis of employees pattern1

1. 1. 1 STATISTICAL ANALYSIS OF EMPLOYEES PATTERNS CHINTHA DAMMI KALUARACHCHI MIT/2008/026 MIT 4060 TAKE HOME ASSIGNMENT -01
2. 2. 2 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.
3. 3. 3 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
4. 4. 4 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.
5. 5. 5 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
6. 6. 6 DATA VIEW OF THE DATA SHEET VARIABLEVIEW OF THEDATA SHEET
7. 7. 7 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.
8. 8. 8 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
9. 9. 9 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
10. 10. 10 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.
11. 11. 11 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
12. 12. 12 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.
13. 13. 13 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
14. 14. 14 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.
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