# Math533 Part a

PART A- Exploratory Info Analysis

Introduction & Overview

AJ Davis is a department store chain, that has many credit customers and wants to find out more information about these customers. The whole sample pair of 50 credit customers can be selected with data collected. The listed below data was provided in order to perform the analysis. 1 . Location:

a. Downtown

m. Suburban

c. Rural

2 . Income

3. Household Size (number of people residing in the household) 4. Years (the period of time that the buyer has occupied the current location) 5. Credit Balance (the customer's current credit card stability on the store's credit card)

Individual Factors

Five individual factors were presented to review: Site, Income, Household Size, Years, and Credit rating Balance. Under is a statistical analysis summarizing the key details referencing Area, Income and Credit Balance.

Variable: Location

The place of AJ Davis' customers is sent out between three classes of urban, suv and country areas. Of the total number of customer places in the test set of your five; 13 can be found in country, 15 in suburban and 22 in urban places. The pie chart implies that just less than 50 % of all AJ Davis' customers live in metropolitan (44%) areas, yet customers that live in rural (26%) and suburban (30%) areas are fairly evenly distributed. The agricultural and provincial areas combine to bargain 56% of AJ Davis' credit consumer bottom in which they are interested in. This should be useful information to AJ Davis as about half of their credit rating customers will be from metropolitan locations.

Variable: Income

The range of customer's salary is \$49, 000, with the highest profits at \$74, 000 plus the lowest for \$25, 1000. The imply (average) cash flow of a customer is \$46, 020. The median cash flow is \$44, 500 (half way level between the 40 total earnings, 25 incomes below and 25 earnings above). The worthiness that appears most frequent (mode) is \$54, 000 and \$57, 000. This information is beneficial to AJ Davis because it gives these people a overview of customer income details so that they will be better able to examine their user's ability to repay their personal debt, as well as make them gage in the event that credit restrictions could possibly be improved.

This kind of boxplot displays this information within a graphical file format. The box represents the lower quartile of \$33, 000 (25% of incomes are less than this value), the typical of \$44, 500, and the upper quartile of \$57, 250 (25% of earnings are higher than this value).

Variable: Credit rating Balance

The average (mean) credit harmony of AJ Davis' customer is \$4, 153, the greatest credit harmony is \$5, 861 and smallest at \$2, 047, resulting in a range of \$3, 814. The standard deviation is \$932. This symbolizes that in the aggregated comparison of credit balances of AJ Davis consumers (in the sample set) a relatively little variation is out there from the suggest of \$4, 153. The median credit balance is \$4, 273; the median often offers a clearer photo of the general data set examined. Yet in this case getting the median and suggest resulted in comparatively close numbers (difference of only \$120) both are representative of an " averageвЂќ credit balance.

This boxplot displays this information collected in a graphical format. The box symbolizes the lower quartile of \$3292 (25% of balances are much less than this value), the median of \$4273 plus the upper quartile of \$4931 (25% of balances happen to be greater than this value). While shown a boxplot is known as a valuable application in examining this data as it gives a good graphical image of the concentration of the data, which is the. They also display how far via most of the data the extreme beliefs are, which can be shown by top as well as the bottom with the vertical line.

Relationships

Below are 3 sets of paired parameters from the provided data. 2. Location and Credit Harmony

* Credit Balance and Size

5. Income and Credit Harmony

Location and Credit Balance

A look at the mean credit balances by location implies that the highest...