How are students distributed across classes of freshman

Assignment Help Advanced Statistics
Reference no: EM13207658

ID Numbers Of The Sample Size Of 30:

1. 44003

16. 41079

2. 43303

17. 10226

3. 35974

18. 40518

4. 11893

19. 32609

5. 10030

20. 41231

6. 34244

21. 15234

7. 24711

22. 32561

8. 38674

23. 29296

9. 20935

24. 10625

10.12728

25. 7388

11.13060

26. 6532

12 4080

27. 1009

13. 19750

28. 35282

14. 27112

29. 11492

15. 37061

30. 23723

 

 

 

Gender

Class

Hours

Work

Loans

CC Debt

Sequence

Sample(Sequence)

Sort(Sample(Sequence))

var10

Male

4

14

18

16047

6588

1

44003

1009


Male

4

15

0

14974

0

2

43303

4080


Female

4

18

0

17930

8262

3

35974

6532


Female

4

14

14.5

16427

0

4

11893

7388


Male

3

17

0

0

3222

5

10030

10030


Female

1

11

0

0

1047

6

34244

10226


Female

1

15

0

4263

0

7

24711

10625


Female

4

16

0

16852

6841

8

38674

11492


Female

1

15

0

3721

1343

9

20935

11893


Female

1

18

0

0

1295

10

12728

12728


Female

4

15

0

0

2957

11

13060

13060


Female

4

16

0

17084

5913

12

4080

15234


Female

1

15

0

0

1199

13

19750

19750


Male

3

14

0

11679

0

14

27112

20935


Male

2

8

33

0

2622

15

37061

23723


Female

3

16

0

0

2299

16

41079

24711


Female

1

15

0

2396

1211

17

10226

27112


Female

2

15

0

7553

1935

18

40518

29296


Male

1

16

0

0

1438

19

32609

32561


Male

4

5

38

15336

3475

20

41231

32609


Female

3

12

26.5

12676

2093

21

15234

34244


Female

1

14

0

3277

1037

22

32561

35282


Female

4

3

34

15526

4673

23

29296

35974


Female

4

18

0

0

3731

24

10625

37061


Female

4

16

12.5

16149

14841

25

7388

38674


Female

3

16

9.5

0

3329

26

6532

40518


Female

1

12

18

3872

1058

27

1009

41079


Female

3

16

16

0

2608

28

35282

41231


Female

3

15

0

0

3482

29

11492

43303


Female

2

15

0

7552

0

30

23723

44003












Assignment Questions:

Respond to the following items.

1. In Part A of this assignment, you selected a random sample of 30 StatCrunch U students and created a StatCrunch file containing data from the above survey for those students. You will use the StatCrunch data file you created in Part A to complete this assignment. Following the instructions at the end of Part A, paste your StatCrunch data file in the space below.

2a. State a question related to a categorical variable that can be answered using your survey data and the techniques you have studied thus far in this course. You are encouraged to develop your own question, but you may use an appropriate question from the StatCrunch website. The question you use should be about the entire population of StatCrunch U students-not just about those in the sample. Assume that your sample is representative of the population.

Assignment Questions:

Here are a few questions (there are many more) to consider about the StatCrunchU student population:

1. What is the proportion of females at StatCrunchU? Determine a range of plausible values for this proportion. Is this proportion significantly larger than 0.5?

2. How are the students distributed across the classes of Freshman (1), Sophomore (2), Junior (3) and Senior (4)? Does the proportion of females change across the classes?

3. What does the distribution of credit hours look like? Does the mean number of credit hours per student appear to be significantly below 15 hours? Does the distribution of credit hours appear to be impacted by gender or class?

4. What is the proportion of students at StatCrunchU that work? For those that do work, characterize the distribution of the number of hours worked per week. For those students that work, also describe the relationship between the number of hours worked per week and the number of credit hours taken. Does this relationship appear to differ for full time students (enrolled in 12 or more credit hours) and part time students (enrolled in less than 12 credit hours)?

5. What is the proportion of students at StatCrunchU that have loans? For those that do have loans, characterize the distribution of the loan amounts. Do gender and/or class have an impact on the distribution of loan amount? For students that work, is there a relationship between the amount of loans they have and the number of hours per week that they work?

6. What is the proportion of students at StatCrunchU that have credit card debt? For those students who have credit card debt, does the amount of credit card debt appear to be influenced by any one or any combination of the other variables?

b. Explain the methodology you will use to answer the question you posed. Your explanation should include answers to the following questions. Do not include your analysis or answers to your question here-only describe how you will do the analysis.

  • What is the variable of interest?
  • What graphical techniques will you use to describe your data?
  • Why are those techniques appropriate? Why did you choose them?

c. Carry out the methodology described in b above. Use StatCrunch and paste copies of the graphs/charts from StatCrunch in the space below.

d. Based on the results of b and c above, answer your question. Include an explanation of how you used the graphs and charts to formulate your answer.

3a. State a question related to a numerical variable that can be answered using your survey data and the techniques you have studied thus far in this course. You are encouraged to develop your own question, but you may use an appropriate question from the StatCrunch website. The question you use should be about the entire population of StatCrunch U students-not just about those in the sample. Assume that your sample is representative of the population.

b. Explain the methodology you will use to answer the question you posed. Your explanation should include answers to the following questions. Do not include your analysis or answers to your question here-only describe how you will do the analysis.

  • What is the variable of interest?
  • What graphical techniques will you use to describe your data?
  • Why are those techniques appropriate?
  • Why did you choose them?
  • What numerical measures will you use to describe your data?
  • Why are those measures appropriate? Why did you choose them?

c. Carry out the methodology described in b above. Use StatCrunch and paste copies of the graphs/charts and numerical summaries from StatCrunch in the space below.

d. Based on the results of b and c above, answer your question. Include an explanation of how you used the graphs, charts, and numerical summaries to formulate your answer.

Reference no: EM13207658

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