Wednesday

August 31, 2016
Posted by **Angela** on Sunday, September 16, 2012 at 5:54pm.

LOCATION (Rural, Urban, Suburban)

INCOME (in $1,000's – be careful with this)

SIZE (Household Size, meaning number of people living in the household)

YEARS (the number of years that the customer has lived in the current location)

CREDIT BALANCE (the customers current credit card balance on the store's credit card, in $).

The data appears below, and is available in Doc Sharing Course Project Data Set as an EXCEL file:

LOCATION

INCOME($1000)

SIZE

YEARS

CREDIT BALANCE($)

Urban

54

3

12

4016

Rural

30

2

12

3159

Suburban

32

4

17

5100

Suburban

50

5

14

4742

Rural

31

2

4

1864

Urban

55

2

9

4070

Rural

37

1

20

2731

Urban

40

2

7

3348

Suburban

66

4

10

4764

Urban

51

3

16

4110

Urban

25

3

11

4208

Urban

48

4

16

4219

Rural

27

1

19

2477

Rural

33

2

12

2514

Urban

65

3

12

4214

Suburban

63

4

13

4965

Urban

42

6

15

4412

Urban

21

2

18

2448

Rural

44

1

7

2995

Urban

37

5

5

4171

Suburban

62

6

13

5678

Urban

21

3

16

3623

Suburban

55

7

15

5301

Rural

42

2

19

3020

Urban

41

7

18

4828

Suburban

54

6

14

5573

Rural

30

1

14

2583

Rural

48

2

8

3866

Urban

34

5

5

3586

Suburban

67

4

13

5037

Rural

50

2

11

3605

Urban

67

5

1

5345

Urban

55

6

16

5370

Urban

52

2

11

3890

Urban

62

3

2

4705

Urban

64

2

6

4157

Suburban

22

3

18

3579

Urban

29

4

4

3890

Suburban

39

2

18

2972

Rural

35

1

11

3121

Urban

39

4

15

4183

Suburban

54

3

9

3730

Suburban

23

6

18

4127

Rural

27

2

1

2921

Urban

26

7

17

4603

Suburban

61

2

14

4273

Rural

30

2

14

3067

Rural

22

4

16

3074

Suburban

46

5

13

4820

Suburban

66

4

20

5149

PROJECT PART A: Exploratory Data Analysis

Open the file MATH533 Project Consumer.xls from the Course Project Data Set folder in Doc Sharing.

For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, and measures of dispersion for the above data. Where appropriate use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use MINITAB as appropriate, and explain what the results mean.

Analyze the connections or relationships between the variables. There are ten pairings here (Location and Income, Location and Size, Location and Years, Location and Credit Balance, income and Size, Income and Years, Income and Balance, Size and Years, Size and Credit Balance, Years and Credit Balance). Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.

Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I'm not looking for a 20 page report on every variable and every possible relationship (that's 15 things to do). Rather what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include Location and at least one of your pairings must not include Location.

All DeVry University policies are in effect, including the plagiarism policy.

Project Part A report is due by the end of Week 2.

Project Part A is worth 100 total points. See grading rubric below.

Submission: The report from part 4 including all relevant graphs and numerical analysis along with interpretations.

Format for report:

Brief Introduction

Discuss your 1st individual variable, using graphical, numerical summary and interpretation

Discuss your 2nd individual variable, using graphical, numerical summary and interpretation

Discuss your 3rd individual variable, using graphical, numerical summary and interpretation

Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation

Discuss your 2nd pairing of variables, using graphical, numerical summary and interpretation

Discuss your 3rd pairing of variables, using graphical, numerical summary and interpretation

Conclusion

Project Part A: Grading Rubric

Category Points % Description

Three Individual Variables - 12pts. each 36 36 graphical analysis, numerical analysis (when appropriate) and interpretation

Three Relationships - 15 pts. each 45 45 graphical analysis, numerical analysis (when appropriate) and interpretation

Communication Skills 19 19 writing, grammar, clarity, logic, cohesiveness, adherence to the above format

Total 100 100 A quality paper will meet or exceed all of the above requirements

- Statistics -
**PsyDAG**, Monday, September 17, 2012 at 1:24pmWe do not do your homework for you. Although it might take more effort to do the work on your own, you will profit more from your effort. We will be happy to evaluate your work though.