Analyzing and Summarizing Math Data
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 $).
|PROJECT PART A: Exploratory Data Analysis | |
• Open the file MATH533 Sept 2013 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing. • Students MUST download and use the data file currently posted inside DocSharing. This data set changes each session and IS NOT the same used in prior sessions. • 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/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 ten pairings here (Location and Income, Location and Size, Location
|PROJECT PART A: Exploratory Data Analysis | |
• Open the file MATH533 Sept 2013 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing. • Students MUST download and use the data file currently posted inside DocSharing. This data set changes each session and IS NOT the same used in prior sessions. • 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/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 ten pairings here (Location and Income, Location and Size, Location