Math533 Part a
PART A- Exploratory Data Analysis
Introduction & Overview
AJ Davis is a department store chain, which has many credit customers and wants to find out more information about these customers. The total sample set of 50 credit customers is selected with data collected. The below data was provided in order to perform the analysis.
1. Location:
a. Urban
b. Suburban
c. Rural
2. Income
3. Household Size (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 customer’s current credit card balance on the store's credit card)
Individual Variables
Five individual variables were provided for review: Location, Income, Household Size, Years, and Credit Balance. Below is a statistical analysis summarizing the key points referencing Location, Income and Credit Balance.
Variable: Location
The location of AJ Davis’ customers is distributed between three classes of urban, suburban and rural areas. Of the total number of customer locations in the sample set of 5; 13 are located in rural, 15 in suburban and 22 in urban locations. The pie chart shows that just less than half of all AJ Davis’ customers live in urban (44%) areas, yet customers that live in rural (26%) and suburban (30%) areas are relatively evenly distributed. The rural and suburban areas combine to compromise 56% of AJ Davis’ credit customer base in which they are interested in. This should be useful information to AJ Davis as about half of their credit customers are from urban locations.
Variable: Income
The range of customer’s income is $49,000, with the highest income at $74,000 and the lowest at $25,000. The mean (average) income of a customer is $46,020. The median income is $44,500 (half way point between the 50 total incomes, 25 incomes below and 25 incomes above). The value that appears most frequent (mode) is $54,000 and $57,000. This information is beneficial to AJ Davis in
Introduction & Overview
AJ Davis is a department store chain, which has many credit customers and wants to find out more information about these customers. The total sample set of 50 credit customers is selected with data collected. The below data was provided in order to perform the analysis.
1. Location:
a. Urban
b. Suburban
c. Rural
2. Income
3. Household Size (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 customer’s current credit card balance on the store's credit card)
Individual Variables
Five individual variables were provided for review: Location, Income, Household Size, Years, and Credit Balance. Below is a statistical analysis summarizing the key points referencing Location, Income and Credit Balance.
Variable: Location
The location of AJ Davis’ customers is distributed between three classes of urban, suburban and rural areas. Of the total number of customer locations in the sample set of 5; 13 are located in rural, 15 in suburban and 22 in urban locations. The pie chart shows that just less than half of all AJ Davis’ customers live in urban (44%) areas, yet customers that live in rural (26%) and suburban (30%) areas are relatively evenly distributed. The rural and suburban areas combine to compromise 56% of AJ Davis’ credit customer base in which they are interested in. This should be useful information to AJ Davis as about half of their credit customers are from urban locations.
Variable: Income
The range of customer’s income is $49,000, with the highest income at $74,000 and the lowest at $25,000. The mean (average) income of a customer is $46,020. The median income is $44,500 (half way point between the 50 total incomes, 25 incomes below and 25 incomes above). The value that appears most frequent (mode) is $54,000 and $57,000. This information is beneficial to AJ Davis in