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# Statistic Analysis

1211 words - 5 pages

AJ DAVIS
DEPARTMENT STORES

Credit Customer Sample Analysis

September 16 2013
Created by:
Created for: Upper Management

Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

Income by Location
(Bar Graph) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

Credit Balances by Income
(Histogram) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Credit Balances by Size
(Scatterplot) . . . . . . . . . . . . . . . . . . . . . . . ...view middle of the document...

The outcome of this process does not reflect an analysis of the whole business, since this procedure will be conducted on a sample basis.

Descriptive Statistics: Income (\$1000)

Variable Location Min Q1 Median Q3 Max
Income (\$1000) Rural 22.00 28.50 31.00 39.50 50.00
Suburban 22.00 39.00 54.00 63.00 67.00
Urban 21.00 32.75 48.00 55.00 67.00
Central Tendency: Mean
Rural 33.69
Suburban 50.67
Urban 44.95
Variability: Standard Deviation
Rural 7.79
Suburban 15.26
Urban 14.56
Interpretation
The minimum income by location is relively close between all three locations. It’s not until the median where a large gap betwwen the suburban and the rural locations are far apart. At the maximum income level the suburban and the urban incomes are the same, but the rural income is still low at the max level.

Descriptive Statistics: Income (\$1000), Credit Balance

Variable Mean Minimum Median Maximum
Income (\$1000) 43.74 21.00 43.00 67.00
Credit Balance (\$) 3970 1864 4090 5678

Central Tendency: Mean by Location

Income (\$1000) Rural 33.69 Credit Balance (\$) Rural 2856
Suburban 50.67 Suburban 4675
Urban 44.95 Urban 4148

Variability: Standard Deviation by Location
Income (\$1000) Rural 7.79 Credit Balance (\$) Rural 428
Suburban 15.26 Suburban 742
Urban 14.56 Urban 63

Interpretation
On this chart we compared the Income vs. the Credit Balances and noticed that there is a connection between the two variables. The higher the income the higher the credit balance is the trend, although there are a few variations that contradict, but overall they go up consistently.

Descriptive Statistics: Credit Balances by Household Size

Variable Size Minimum Q1 Median Q3 Maximum
Credit Balance (\$) 1 2477 2530 2731 3058 3121
2 1864 2921 3159 3890 4273
3 3623 3772 4063 4213 4705
4 3074 4037 4764 5069 5149
5 3586 3879 4742 5083 5345
6 4127 4270 5370 5626 5678
7 4603 4603 4828 5301 5301

Central Tendency & Variability : Mean and Deviation of Credit Balance by Size

Variable Size Mean StDev
Credit Balance(\$)1 2781 272
2 3278 699
3 4063 336
...

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