Course Project: AJ DAVIS DEPARTMENT STORES
Introduction
AJ DAVIS is a department store chain, which has many credit customers and wants
to find out more information about these customers. A sample of 50 credit
customers is selected with data collected on the following five variables.
1. Location (rural, urban, suburban)
2. Income (in $1,000's—be careful with this)
3. Size (household size, meaning number of people living in the household)
4. Years (the number of years that the customer has lived in the current location)
5. Credit balance (the customers current credit card balance on the store's credit
card, in $).
The data is available in Doc Sharing Course Project Data Set as an Excel file. You
are to copy and paste the data set into a MINITAB worksheet.
PROJECT PART A: Exploratory Data Analysis
Open the file MATH533 Project Consumer.xls from the Course Project Data
Set folder in Doc Sharing.
For each of the five variables, process, organize, present, and summarize the
data. Analyze each variable by itself using graphical and numerical
techniques of summarization. Use MINITAB as much as possible, explaining
what the printout tells you. You may wish to use some of the following
graphs: stem-leaf diagram, frequency or relative frequency table, histogram,
boxplot, dotplot, pie chart, bar graph. Caution: Not all of these are
appropriate for each of these variables, nor are they all necessary. More is
not necessarily better. In addition, be sure to find the appropriate measures
of central tendency and measures of dispersion for the above data. Where
appropriate use the five number summary (the Min, Q1, Median, Q3, Max).
Once again, use MINITAB as appropriate, and explain what the results mean.
Analyze the connections or relationships between the variables. There are
10 pairings here (location and income, location and size, location and years,
location and credit balance, income and size, income and years, income and
balance, size and years, size and credit balance, years and Credit Balance).
Use graphical as well as numerical summary measures. Explain what you
see. Be sure to consider all 10 pairings. Some variables show clear
relationships, while others do not.
Prepare your report in Microsoft Word (or some other word processing
package), integrating your graphs and tables with text explanations and interpretations.
Be sure that you have graphical and numerical back up for your explanations
and interpretations. Be selective in what you include in the report. I'm not
looking for a 20-page report on every variable and every possible relationship
(that's 15 things to do). Rather, what I want you do is to highlight what you
see for three individual variables (no more than one graph for each, one or two
measures of central tendency and variability (as appropriate), and two or
three sentences of interpretation). For the 10 pairings, identify and report
only on three of the pairings, again using graphical and numerical summary (as
, appropriate), with
Introduction
AJ DAVIS is a department store chain, which has many credit customers and wants
to find out more information about these customers. A sample of 50 credit
customers is selected with data collected on the following five variables.
1. Location (rural, urban, suburban)
2. Income (in $1,000's—be careful with this)
3. Size (household size, meaning number of people living in the household)
4. Years (the number of years that the customer has lived in the current location)
5. Credit balance (the customers current credit card balance on the store's credit
card, in $).
The data is available in Doc Sharing Course Project Data Set as an Excel file. You
are to copy and paste the data set into a MINITAB worksheet.
PROJECT PART A: Exploratory Data Analysis
Open the file MATH533 Project Consumer.xls from the Course Project Data
Set folder in Doc Sharing.
For each of the five variables, process, organize, present, and summarize the
data. Analyze each variable by itself using graphical and numerical
techniques of summarization. Use MINITAB as much as possible, explaining
what the printout tells you. You may wish to use some of the following
graphs: stem-leaf diagram, frequency or relative frequency table, histogram,
boxplot, dotplot, pie chart, bar graph. Caution: Not all of these are
appropriate for each of these variables, nor are they all necessary. More is
not necessarily better. In addition, be sure to find the appropriate measures
of central tendency and measures of dispersion for the above data. Where
appropriate use the five number summary (the Min, Q1, Median, Q3, Max).
Once again, use MINITAB as appropriate, and explain what the results mean.
Analyze the connections or relationships between the variables. There are
10 pairings here (location and income, location and size, location and years,
location and credit balance, income and size, income and years, income and
balance, size and years, size and credit balance, years and Credit Balance).
Use graphical as well as numerical summary measures. Explain what you
see. Be sure to consider all 10 pairings. Some variables show clear
relationships, while others do not.
Prepare your report in Microsoft Word (or some other word processing
package), integrating your graphs and tables with text explanations and interpretations.
Be sure that you have graphical and numerical back up for your explanations
and interpretations. Be selective in what you include in the report. I'm not
looking for a 20-page report on every variable and every possible relationship
(that's 15 things to do). Rather, what I want you do is to highlight what you
see for three individual variables (no more than one graph for each, one or two
measures of central tendency and variability (as appropriate), and two or
three sentences of interpretation). For the 10 pairings, identify and report
only on three of the pairings, again using graphical and numerical summary (as
, appropriate), with
