The following report reveals a detailed record analysis of AJ DAVIS department store clients. Data was collected coming from a sample of fifty AJ DAVIS credit consumers for the purpose of learning more about the customers of AJ DAVIS.

The initially variable deemed is Position, a particular variable. The three subcategories happen to be Urban, Provincial and Rural. The consistency distribution and pie graph are included. Measures of central trend and descriptive statistics aren't calculated because of the categorical characteristics of the variable.

Frequency Circulation:

LOCATION| RATE OF RECURRENCE

Urban| 22

Suburban| 12-15

Rural| 13

The largest quantity of customers participate in the City Location category (44%), then those inside the Suburban Site category (30%). The least volume of customers fit in in the Non-urban Location category (26%).

The next individual variable regarded as is Household Size, that means the number of persons living in your family. Size is a quantitative changing. The steps of central tendency and variation as well as other descriptive figures have been determined for this changing.

Descriptive Figures: AJ DAVIS Customer Data - Household Size

Total

Varying Count D N* CumN Percent CumPct Mean ZE Mean TrMean StDev C1 50 40 0 60 100 100 3. four-twenty 0. 246 3. 341 1 . 739

Sum of

Variable Variance CoefVar Amount Squares Minimal Q1 Typical Q3 C1 3. 024 50. 85 171. 000 733. 1000 1 . 000 2 . 1000 3. 000 5. 000

N pertaining to

Variable Maximum Range IQR Mode Method Skewness Kurtosis MSSD C1 7. 500 6. 1000 3. 000 2 15 0. 53 -0. 72 3. 214

FREQUENCY CIRCULATION:

SIZE| CONSISTENCY

1| five

2| 12-15

3| eight

4| 9

5| a few

6| your five

7| several

The suggest household size of the customers is found to be 3. forty two. The typical of the info is 3 and the function is installment payments on your The standard change is approximately 1 . 74. The largest number of consumers have a household size of two as is displayed in the consistency distribution plus the bar graph. The 3rd person variable considered is Credit rating Balance. It is a quantitative varying. The steps of central tendency, variation and other descriptive statistics had been calculated in this variable.

Descriptive Statistics: Credit rating Balance

Total

Variable Depend N N* CumN Percent CumPct Mean SE Indicate TrMean StDev C1 55 50 zero 50 95 100 3970 132 3980 932

Quantity of

Adjustable Variance CoefVar Sum Squares Minimum Q1 Median Q3 C1 868430 23. forty seven 198523 830780693 1864 3109 4090 4748

N intended for

Variable Optimum Range IQR Mode Mode Skewness Kurtosis MSSD C1 5678 3814 1638 3890 2 -0. 15 -0. 72 373840

RELATIVE RATE OF RECURRENCE DISTRIBUTION

CREDIT RATING BALANCE| FREQUENCY| RELATIVE FREQUENCY

$1500-$2000| 1| 0. 02

$2000-$2500| 2| 0. 04

$2500-$3000| 6| 0. doze

$3000-$3500| 6| 0. 12

$3500-$4000| 8| 0. 16

$4000-$4500| 12| 0. twenty four

$4500-$5000| 7| 0. 16

$5000-$5500| 6| 0. 12

$5500-$6000| 2| 0. apr

The imply credit harmony of the buyers is given as $3980. The normal deviation is around 932. The credit stability of the buyers is more or perhaps less normally distributed while using peak of the bell formed distribution falling in the range $4000 -- $4500. One of the most customers have a credit rating balance within this range.

The relationship between variables Profits and Size is illustrated inside the following spread plot:

It really is clear in the scatter storyline that not any relationship exists between size and income. The points are scattered with no style. The relationship involving the variables Salary and Credit rating Balance can be illustrated in the following scatter plot:...