Data Analysis Of AJ Davis, A Department Store Chain

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.
 Location
 Rural
 Urban
 Suburban
 Income
 Size
 Year
 Credit Balance By analysis the data which is collected on above mentioned variable in StatCrunch (Minitab) we would identify the customer’s income level, credit balance and location that they live.

Descriptive statistics: Income ($1000), Size (household), Years, Credit Balance ($) Variable n Mean Median Mode Variance STDEV Range Q1 Minimum Q3 Maximum

Income
($1000) 50 46.02 44.5 No unique 192.75469 13.883612 49 33 25
Leaf unit = 1

2: 55679
3: 000223334
3: 5568
4: 0022334
4: 556779
5: 3444
5: 7778
6: 01124
6: 5689
7: 14

Descriptive statistics size :
Variable Mean Median Variance STDEV Range Q1 Minimum Q3 Maximum
Size 4.5 4.5 6.4 2.5 7 2 1 7 8

The Minitab results for the size variable indicate that out of the 50 household samples, have minimum household size 1 person and maximum 8 people, and median (average) household size 4.5 ( almost 5) people. Q1 is two people and Q3 is seven people.

Descriptive statistics years:
Variable Mean Median Mode Variance STDEV Range Q1 Minimum Q3 Maximum
Years 9.6 10 10 20.5 4.5 18 6 1 13 19

The StatCrunch for the year’s variable shows that the minimum year a household has been a store’s customer is 1 year and the Maximum is 19 years. The median (average) is 10 years, Q1 is 6 years, and Q3 is 13 years.

Chart of years :

Descriptive statistics credit balance:
Variable Mean Median Mode Variance STDEV Range Q1 Minimum Q3 Maximum
Credit Balance 4153.46 4273 4073 868429.85 931.89583 3814 3304 2047 4925