TABLE OF CONTENTS
1.0 Introduction
2.0 Individual Variable: Income
3.0 Individual Variable: Size 4.0 Individual Variable: Credit Balance($) 5.0 Pairing of Variables: Income($1000) vs. Years 6.0 Pairing of Variables: Credit Balance($) vs. Income($1000)
7.0 Pairing of Variables: Credit Balance($) vs. Location
8.0 Conclusion 9.0 References List

1.0 Introduction

This report is done base on a sample of 50 credit customers with AJ DAVIS is selected with data collected base on five variables as following:

• Location (Rural, Urban, Suburban) • Income (in $1,000's) • Size (Household Size, meaning number of people living in the household) • Years (the number of years that the customer has lived in the current location) • Credit Balance (the customers current credit card balance on the store's credit card, in $).
To have more understand of what the data truly mean, three of individual variable and three of pairing variable are analyzed by using numerical techniques of summarization as and graphical such as stem-leaf diagram, histogram, boxplot, and bar chart on this report.

Since a bar graph is useful for comparing facts and help us to see relationships quickly, the graphs for all three of the pairing variable are applied to bar chart graph.

2.0 Individual Variable: Income

Descriptive Statistics: INCOME($1000)

Variable Mean StDev Variance Minimum Q1 Median Q3 Maximum
INCOME($1000) 43.48 14.55 211.72 21.00 30.00 42.00 55.00 67.00