12
Course Project
AJ DAVIS DEPARTMENT STORES

PROJECT PART A
In this course project, my aim is to present the statistical analysis of the data for Aj Davis departmental store chain, which has many credit customers and wants to find out more information about these customers.
In analyzing the individual variable, using graphical illustrations I would be using histogram, bar chart and a pie chart because there are useful when using numerical comparison.
The 3 individual variables 1) The 1st individual variable, I choose is the credit balance of the customers.
Credit Balance

Numerical Summary: | Credit Balance($) | Mean | 3970 | Median | 4090 | Mode | 3890 | Standard Deviation | 932 | Skewness | -0.15 | Range | 3814 | Minimum | 1864 | Sum | 198523 | Maximum | 5678 |

Interpretation
The mean credit balance of the customers is given as $3970. The standard deviation is given approximately as 932. The credit balance of the customers is more or less normally distributed with the peak of the bell shaped distribution lying in the range 3814. 2) The 2nd individual variable, I choose is the household size. Thus the number of people living in the households.
SIZE

Frequency Distribution | Size | Frequency | 1 | 5 | 2 | 15 | 3 | 8 | 4 | 9 | 5 | 5 | 6 | 5 | 7 | 3 |

Interpretation
The mean of the household size is known as 3 approximately as seen on Minitab. The median of the household size 3 and the mode would be 2. As seen in the bar chart above, the maximum number of a household size of 2 because it has a total of 15 members in the household. 3) The 3rd individual variable, I choose is the location of the customers.
LOCATION

Interpretation
It is a categorical variable. Since this is a categorical variable, the numerical summary is 26.0% of the location as seen above is rural, while 30.0%