Impact of Initiatives on Employees: Statistical Analysis

Business Modeling and Analysis
STUDENT NAME/ID
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Executive Summary
The report aims to highlight the impact of certain initiatives that Margaret has undertaken. Both
descriptive and inferential statistical techniques have been deployed in this regards. The
confidence interval estimation for average age of employees and the social media time spent
based on the sample chosen tends to indicate that the sample selected represents the population.
Also, it is estimated that the social media usage is independent of gender. Further, the new
initiatives have led to increase in peer support but do not lead to any significant change in stress
level. Besides, time on social media does not influence the job satisfaction of employees but
tends to have a significant negative relation with productivity.
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Introduction
The objective of this report is to analyse the effectiveness of the various initiatives that have been
undertaken by Margaret. Various variables such as job satisfaction, peer support have been
measured after and before these initiatives so that statistical analysis can be performed for
estimation of their respective performance. In order to measure the same, a random sample of
100 employees has been used instead of the population of 810 employees. This sample data can
be found in the Appendix section. Both descriptive and inferential statistical techniques have
been deployed.
Task 1
A random sample of 100 observations has been derived from the given population 810
observations and would be used for requisite analysis. The random sample has been represented
in the appendix. The variables of interest are highlighted below.
 Gender of employee
 Age of employee (Years)
 Time spent on social media (Hours per day)
 Productivity (Number of billable hours)
 Job satisfaction (Scale 1 to 10 where 1 represents lowest level of satisfaction and 10
represents highest level of satisfaction)
 Stress level (Scale 1 to 10 where 1 represents least stress level and 10 represents highest
stress level)
 Peer support (Scale 1 to 10 where 1 represents least peer support and 10 represents highest
peer support)
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Task 2
The numerical summary and graphical representation of the variables is highlighted below.
Gender
It is apparent from the above shown pie chart that the distribution of gender in the sample has
been found as 45% and 55% for male and female employee respectively. It indicates that number
of female employees is higher than male employee which represents that in the population of 810
employees, the dominant portion of the employee working in the company could be female
employee assuming a representative sample (Eriksson and Kovalainen, 2015).
Age
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Based on the above shown histogram, it can be concluded that distribution of age does not follow
normal distribution which is evident from the non-symmetric shape of the histogram and
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presence of skew. Further, the measures of central tendency, mean, median and mode are not
same which also confirms the non-normal distribution of the variable. Further, the maximum
number of employees lies within the age group of 18-25 or older age within the age group of 53-
60 years.
Time Spent on SM
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