Measurement scale of variables | Statistics

Running head: STATISTICS
Statistics
Name of the Student
Name of the University
Student ID

STATISTICS1
Table of Contents
1.Introduction...................................................................................................................................2
2. Variables in the sample................................................................................................................2
2.1 Name of the variable..............................................................................................................2
2.2 Measurement scale of variables.............................................................................................2
2.3 Variable types........................................................................................................................3
3. Nature of sample data..................................................................................................................4
4. Summary statistics of ‘Net Sales’................................................................................................4
5. Frequency of Gender and Marital Status.....................................................................................5
6. Analysis of correlation between ‘age’ and ‘net sales’.................................................................5
7. Types of credit cards....................................................................................................................6
8. Types of customers......................................................................................................................6
9. Conclusion...................................................................................................................................7
List of References............................................................................................................................8
Appendices......................................................................................................................................9

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1.Introduction
The case study is based on one of the most popular fashion brand of Australia named Ice-
vanilla fashion line. In order to boost sales, the company has recently provided promotional offer
to the customers who are members of company’s priority club. Purpose of the report is to make
an analysis of factors affecting sales of the company with particular focus on promotional
program. The analysis however is limited in the sense that it mostly focuses on impact on
promotional program in determining sales. Factors like income of customers, tastes and
preferences and other which might have an impact on company’s sales but does not incorporated
in the analysis. For conducting the analysis sample of 200 customers are collected who made
purchase on the date of using promotional codes. Descriptive statistics, computation of
frequency, correlation analysis and bar chart have been used to analyze and present the sample
data.
2. Variables in the sample
2.1 Name of the variable
The sample data include a total of nine variables namely – Customers, Types of
Customers, Items, Net Sales, Method of Payment, Gender, Marital Status, Age and State.
2.2 Measurement scale of variables
There are four common types of measurement scale used for measuring variables. These
are nominal scale, ordinal scale, interval and ratio scale (Fisz & Bartoszynski, 2018). Depending
on nature of variables in the sample data, the measurement scale for the variables can be given as

STATISTICS3
Name of the variable Scale of Measurement
Customer Nominal
Type of Customer Nominal
Items Nominal
Net Sales Ratio
Method of Payment Nominal
Gender Nominal
Marital Status Nominal
Age Ratio
State Nominal
2.3 Variable types
Depending on nature and attributes of measurement variables are of different types
(Holcomb, 2016). The variables included in the sample can be classified into the following types
Name of the variable Types of variable
Customer Numerical
Type of Customer Categorical
Items Numerical
Net Sales Numerical
Method of Payment Categorical
Gender Categorical
Marital Status Categorical