AJ Davis Shops Course Project

Part A: Exploratory Data Research

Tiffahanie Seger

GM533 Used Managerial Stats

Professor Keyhani

Project Portion A: Exploratory Data Evaluation:

A. Simple Introduction

AJ Davis, a popular department store sequence, retains many credit clients.

Therefore , they accomplished an specific study more information about these

customers who also are essential with their future success as a company. A sample of fifty

customers were selected to conduct this study. Subsequent data was collected associated

towards the following five variables:

1 ) Location

2 . Income

3. Size

4. Years

5. Credit Equilibrium

The following statement was produced to represent a statistical evaluation of these fifty

credit customers to represent AJ Davis.

N. First Individual Variable

The first specific variable is the customers' location, which is a qualitative

or categorical variable. Qualitative factors describe the information by putting them into

broad groups or subcategories. The three subcategories of site include:

urban, country, and suburban.

Regularity Distribution: Site

Frequency Syndication:

Location| Regularity

Urban| twenty one

Suburban| 15

Rural| 13

Pie Graph: Location

Evaluation:

Looking at the statistical examination of both the frequency syndication and the

pie data for the location variable, the majority of the credit consumers live in downtown

areas. Urban areas, which can be 21 and 42% correspondingly, are followed by suburban

and country areas for AJ Davis' credit buyers.

C. Second Specific Variable

The 2nd individual adjustable is the client's household size, which is a

quantitative variable. Through the quantitative variable of household size, the

number of people moving into each of the 60 customer's people can be literally

measured.

Consistency Distribution: Size

Frequency Distribution:

Size| Regularity

1| 5

2| 12-15

3| eight

4| on the lookout for

5| a few

6| 5

7| a few

Bar Graph: Size

Descriptive Statistics Brief summary: Size

Descriptive Statistics Overview: Size

Minimum| 1

Maximum| 7

Range| 6

Sum| 171

Count| 50

Mean| 3. 4200

Median| 3

Mode| 2

Standard Deviation| 1 . 7390

Sample Variance| 3. 0241

Skewness| zero. 5279

Examination:

For the size variable, the statistical examination of the frequency distribution, the

pub graph, and the descriptive statistics summary had been completed. Based on the

frequency distribution and bar graph, the majority of credit customers have got a

household size of two. Based on the descriptive figures summary, the mean is definitely

a few. 42, the median is 3, the mode is definitely 2, as well as the standard change is 1 ) 74. This kind of data is usually

in alignment with all the frequency circulation and bar graph info.

D. Third Individual Variable

The next individual adjustable is the customer's credit equilibrium, which is also a

quantitative variable. Through the quantitative adjustable of the credit rating balance, each

customer's current retail store credit card balances can be counted from the test of

fifty.

Rate of recurrence Distribution: Credit rating Balance

Consistency Distribution: Credit Balance

Credit Balance ($)| Frequency| Relative Frequency

$1500 - $2000| 1| zero. 0200

$2000 - $2500| 2| 0. 0400

$2500 - $3000| 6| zero. 1200

$3000 - $3500| 6| zero. 1200

$3500 - $4000| 8| zero. 1600

$4000 - $4500| 12| zero. 2400

$4500 - $5000| 7| 0. 1400

$5000 - $5500| 6| 0. 1200

$5500 - $6000| 2| zero. 0400

Histogram: Credit Stability

Descriptive Statistics Summary: Credit rating Balance

Descriptive Statistics Brief summary: Credit Stability

Minimum| 1864

Maximum| 5678

Range| 3814

Sum| 198203

Count| 55

Mean| 3964

Median| 4090

Mode| 3890

Standard Deviation| 933. forty-nine

Sample Variance| 871411

Skewness| -0. 13|...

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