Decision Making Using Statistical Data

DECISION MAKING USING STATISTICAL DATA
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ASSESSMENT ITEM THREE: DECISION MAKING USING STATISTICAL DATA
Name of the Student:
Name of the Institution:

DECISION MAKING USING STATISTICAL DATA
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Contents
Introduction......................................................................................................................................3
Parameters and the sample population............................................................................................3
Collected data..................................................................................................................................3
Results..............................................................................................................................................3
Frequency Analysis......................................................................................................................3
Descriptive Statistics....................................................................................................................4
Graphical Analysis.......................................................................................................................4
Statistical Validation- Reliability Test.........................................................................................5
Correlation Analysis....................................................................................................................5
Regression Analysis.....................................................................................................................6
Results discussion............................................................................................................................7
Conclusions......................................................................................................................................7
References........................................................................................................................................7
Introduction

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Customer satisfaction is an essential element in the sustainability of a business. The performance
of any business is dependent on the level of satisfaction of its customers. Depending on the
degree of satisfaction enjoyed by a customer, a number of factors are determined. These factors
include the level of spending of the customer, the loyalty of the customer, the possibility of the
customer recommending the products or services and the nature of review that the customer
gives (whether positive or negative) (Agung, et al., 2014).
The level of satisfaction of a customer can be measured by several factors. The report
investigates the degree of satisfaction of customers in a mall. Variables under consideration
include customer’s age, their gender, their annual income, the spending score and how satisfied
they are. Spending score refers to the value of money that the customers received for the goods
and or services in the mall. The level of satisfaction represents the level of contentment of the
customers with the service delivery and customer handling. The levels of satisfaction that the
customers were to choose from were divided into five possibilities. They include 1-Very
unsatisfied, 2- unsatisfied, 3- somehow satisfied, 4- satisfied and 5- very satisfied.
The primary objective of this report is to analyze data collected from a mall and to provide
insights into this data. To achieve this, a number of analyses were conducted on the data
collected. These analyses include The frequency analysis, descriptive statistics analysis,
statistical validation analysis, analysis of the correlation between data sets, and regression
analysis (Kyosuke & Takashi, 2011).
Secondary data collection technique was applied. This technique was used because the data
collected was secondary in nature. Secondary data refers to data that is collected from a pre-

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recorded primary source. On the other hand, primary data refers to data collected on first hand
from the field using such techniques like administration of questionnaires, observations,
interviewing and many other techniques (Cook, et al., 2014).
Methodology
Data analysis methods or techniques are the statistical procedures used in exploring the data and
obtaining meaningful insights from the analysis. There were several analyses that were
conducted to provide insights into the data that was collected. Some of the analyses conducted
included the frequency analysis as we as descriptive statistics analysis. Also, statistical validation
analysis, correlation analysis, and regression analysis were conducted (Williamson & Kirsty,
2018).
Frequency analysis was conducted on the gender variable to determine the number of males and
females that were represented in the sample. On a scale of 1 to 5, the customers’ levels of
satisfaction were was ranked based on the feedback given. A customer could be ranked as very
unsatisfied, unsatisfied, somehow satisfied, satisfied or very satisfied. Similarly, a frequency
analysis was conducted on all the variables (customer’s age, their annual income, their spending
score and their level of satisfaction) based on gender.
The frequency of all variables or parameters based on the gender was conducted to provide a
comparison of the males and females on all the variables. For example, the frequency analysis on
gender and all the other variables clearly brings out the picture of a comparison of male and
female annual incomes (Zin, et al., 2019).