Business Statistics Report 2022

Running head: BUSINESS STATISTICS
Business Statistics
Name Of Student:
Name Of University:
Authors Note:

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BUSINESS STATISTICS
Table of Contents
Introduction:...............................................................................................................................3
Identifying Data Types:..............................................................................................................3
Descriptive Statistics..................................................................................................................4
For numerical variables..........................................................................................................4
Numerical measure for categorical variable:.............................................................................6
Data summarising:.....................................................................................................................6
Frequency table for two different categorical variable:.........................................................7
Frequency table for two different numerical variable:...........................................................7
Two way frequency table for marital status and regions containing them:...........................9
Scatter plot of age and years of experience..........................................................................10
Scatter plot between age and salary:....................................................................................11
Discussion of the results and recommendations:.....................................................................12
References:...............................................................................................................................13

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BUSINESS STATISTICS
Introduction:
The main goal of this study is estimating the job satisfaction of employees working
for a company. Job Satisfaction depends on many different factors from salary, the kind of
work and the overall environment of the company. There are some relation, in general
between, job satisfaction and happiness, years of experience and salary etc. For this report a
survey is conducted and various data relating to different categories were collected. The
values were of different data types and it has been categorized accordingly. Age, salary, years
of experience are taken and their statistic, such as mean, standard of deviation, is calculated.
Other variables are also considered to see any patterns linking them [1].
The data given is studied and graphs between variables that might indicate some
relationship between them are analysed. A questions might be answered from such
investigations, such as if there is a link between years of experience and job satisfaction, or
any links between age of an employee and job satisfaction or any variables that might have a
relationship [2].
Many statistical tools to achieve our objective. The variables is at first classified into
their respective data types. This helps us understand which of the statistical tools such as
mean, median, mode or others we have to apply to the classes of data. The higher the data
level, the more sophisticated is our level of analysis. There are four levels of data
measurement: nominal, interval,ordinal and ratio [3]. Nominal data’s are the weakest forms
of data. For example in our case the marital status of the employees can have only two
results: 1. Married or 2. Single. Id, Gender, Status of promotion fall under this category.
Ordinal data’s are next in the hierarchy in the data measurement level. These are used when
there is a ordered relationship between the value assigned to the variables. Interval Data is the
set of data that has the ordinal properties but also the distance between the data can be

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BUSINESS STATISTICS
measured. Temperature scales or time or happiness index are some examples of interval
scale. Data that have the properties of interval data but also have a absolute zero are called
ratio data.
Excel is used for most of our calculation in this report [4].
Identifying Data Types:
Table containing all names of variables and the associated data type as well as the
scale of measurement:
Names of variables Data Type
ID Qualitative
Gender Qualitative
Marital Status Qualitative
Age Quantitative
Years of experience Quantitative
City Area Qualitative
Region Qualitative
Departments Qualitative
Salary Quantitative
JSS before training Quantitative
JSS after training Quantitative
Life Happiness Score Quantitative
Promoted Qualitative