Question

a. Name two customer-related attribute variables that a newly opened department store might find informative to study. b. Name two customer-related numerical variables that a newly opened department store might find informative to study.

Name: Problem 19, Chapter 1: Elementary Statistics
Uploaded: 2020-07-05T15:35:05-08:00
Duration: 26 s
Channel: Kerry Thornton-Genova
Description: a. Name two customer-related attribute variables that a newly opened department store might find informative to study. b. Name two customer-related numerical variables that a newly opened department store might find informative to study.

    a. Name two customer-related attribute variables that a newly opened department store might find informative to study.
b. Name two customer-related numerical variables that a newly opened department store might find informative to study.

Elementary Statistics

Robert Johnson,… 11th Edition

Chapter 1, Problem 19

Instant Answer

Solved by Expert Kerry Thornton-Genova

07/05/2020

Step 1

These are qualitative or categorical variables that can provide useful information about the customers. For a newly opened department store, it might be informative to study the ZIP code and gender of the customers. The ZIP code can provide information about where Show more…

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a. Name two customer-related attribute variables that a newly opened department store might find informative to study. b. Name two customer-related numerical variables that a newly opened department store might find informative to study.

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Key Concepts

Attribute Variables

These are categorical or qualitative variables that classify customers based on non-numeric characteristics. They provide insights into customer segments by grouping individuals based on attributes such as gender, marital status, or occupation, which helps in tailoring marketing strategies and understanding customer profiles.

Numerical Variables

These are quantitative variables that measure specific numerical aspects of customer behavior or demographics. They allow for statistical analysis and include factors such as age, income, or frequency of visits, which can be instrumental in evaluating spending patterns and forecasting sales.

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