Mathematics
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
interpretations. Please note that at least one of your pairings must include location and at least one of your pairings must not
include location.
Location Income ($1,000) Size Years Credit Balance($)
Rural 25 4 2 2,047
Urban 27 1 2 2,631
Rural 30 5 5 2,660
Rural 30 6 9 2,697
Rural 33 6 10 2,766
Rural 33 6 11 2,914
Rural 33 7 13 3,104
Suburban 25 1 1 3,155
Rural 36 7 13 3,178
Rural 38 7 15 3,203
Rural 40 7 15 3,250
Rural 45 8 16 3,257
Rural 45 8 17 3,304
Rural 47 8 18 3,342
Urban 29 1 3 3,531
Urban 30 1 4 3,769
Rural 53 8 18 3,788
Urban 34 1 6 3,806
Suburban 26 1 2 3,913
Urban 35 1 8 4,049
Urban 40 1 9 4,073
Urban 42 2 10 4,073
Suburban 32 2 4 4,082
Urban 43 2 10 4,199
Urban 43 2 10 4,253
Urban 47 2 10 4,293
Suburban 32 2 4 4,310
Urban 54 2 11 4,340
Urban 54 3 8 4,354
Urban 54 3 10 4,366
Urban 57 3 11 4,391
Urban 58 4 10 4,397
Urban 60 4 11 4,402
Suburban 35 3 5 4,456
Urban 61 5 13 4,595
Urban 61 5 13 4,786
Urban 62 6 14 4,888
Suburban 42 3 5 4,925
Suburban 44 3 6 4,947
Suburban 46 4 6 5,003
Urban 68 6 14 5,011
Suburban 49 5 8 5,148
Suburban 57 6 8 5,220
Suburban 57 7 9 5,283
Suburban 64 8 9 5,332
Suburban 65 8 10 5,484
Urban 71 7 15 5,528
Urban 74 7 19 5,553
Suburban 66 8 10 5,756
Suburban 69 8 10 5,861
