Detailed Analysis of Blitz Department Store Data: A Report

This report analyzes data from Blitz Department Store, focusing on customer behavior and spending patterns across Melbourne, Sydney, and Perth. The analysis reveals that the average customer is around 35 years old, with significant differences in age distribution across the three cities. The report challenges the claim that the average spending per visit is less than $105. It explores the relationship between customer age and spending, finding no significant correlation. Additionally, the report examines shopping habits in the beauty section, indicating that more than 48% of customers do not shop in this section. The likelihood of female customers purchasing beauty products is significantly higher. The report concludes that there is a strong relationship between gender and shopping behavior in the beauty section, providing valuable insights for the management department to make informed decisions.

Running Head: ANALYSIS OF BLITZ DEPARTMENT STORE DATA
Analysis of Blitz Department Store Data
Name of the Student
Name of the University
Authors Note

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To: Jacinta Liu
From: Alex Cassidy
Subject: Analysis of BLITZ Department store data
Dear Sir,
On the basis of the survey data collected of 300 customers in three major Australian cities
such as Melbourne, Sydney and Perth analysis has been done and the answers to the asked
questions will be provided.
Customers of around 35 years of age visit the departmental store more often. It is most
common in middle aged people, especially who are aged between 26 and 48 years. The average
age of the customers differ significantly between the three cities Melbourne, Sydney and Perth.
Strong evidence has been found for that from the analysis. It is seen that the department wants to
claim that the average amount an individual spends on each visit to the store is less than $105.
The results from the analysis clearly show that the claim is not right. Thus, the marketing
department cannot make the claim that an individual spends less than $105 on each visit to the
departmental store. The age of the customers does not much help in predicting the amount of
money spent on the store per visit. The amount of money spent per visit in the store does not
much depend on the age of the customer. The people go to the shops and buy the products they
need. They follow this trend irrespective of their ages. The people go for shopping based on their
necessities and thus age does not stop them.
The information provided to us stated that there has been some in store promotions very
recently of the products sold by the departmental store. In the city of Melbourne, 46 percent of
the customers in the store shop in the beauty section, in Sydney, 56 percent of the customers

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shop in the beauty section and in the city of Perth, 55 percent of the population shop in the
beauty sections. From this information it can also be estimated whether the proportion is more
than 48 percent. By running the analysis based on these information, it can be said clearly that
there has been strong evidence to conclude that more than 48 percent of the people do not shop
from the beauty sections of the departmental store. On considering the female customers, it can
be said that the likelihood of the customer to shop from the beauty section is quite high (0.781).
Thus, it can be said that the female customers have an inclination to buy beauty products every
time they visit a departmental store. It can also be said that shopping in beauty section is way
much higher between the female customers than the male customers. Thus, there is strong
evidence to show that there is a relationship between the shopping in the beauty sections of the
departmental stores on the condition that the person is a male or a female.
All the information provided above is hopefully enough to answer the questions asked in
the previous mail. These answers will help the management department to make better decisions
for the company.