A key part of research involves formulating interesting questions and then developing a methodology and collecting

This page explains the assignment. The questions you need to answer are on the next page.

A key part of research involves formulating interesting questions and then developing a methodology and collecting appropriate data to answer those questions. In this assignment, assume that you are the researcher who developed the survey you sawPart A of this assignment. Normally, you would have your research questions in mind prior to developing asurvey. We will “pretend” that was the case, but in reality, the first thing you need to do to complete this assignment is to formulate questions that can be answered based on sample data you collected in Part A

The items below ask you to formulate a question, describe your methodology for answering the question, carry out the methodology you described, then answer your question. Although not as detailed, this mirrors the format used in many research reports.

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.

ID Gender Class Hours Work Loans CC Debt

2641 Male 1 12 0 3112 1116

2642 Female 1 12 0 4478 1288

2643 Female 4 15 0 0 0

2644 Male 1 16 0 0 1431

2645 Male 4 15 0 0 8074

2646 Male 1 14 0 2781 0

2647 Male 2 14 0 0 2190

2648 Female 3 11 24.5 12401 3518

2649 Male 1 12 0 0 1190

2650 Male 2 14 13 7984 1911

2651 Female 1 18 0 4329 1086

2652 Male 1 16 0 5681 1500

2653 Female 1 15 0 0 1209

2654 Female 2 17 0 0 2388

2655 Female 4 16 0 16788 4347

2656 Female 1 14 14.5 1707 0

2657 Male 4 15 0 0 6595

2658 Female 1 11 26 0 1180

2659 Female 1 15 12 0 1000

2660 Male 1 15 0 0 1530

2661 Female 4 6 35 15701 0

2662 Female 4 16 0 0 9842

2663 Male 3 14 0 0 2137

2664 Male 2 12 0 0 4050

2665 Female 2 20 12.5 7868 2642

2666 Female 3 9 21.5 11160 6085

2667 Female 4 16 0 0 3773

2668 Female 4 8 28.5 17050 4072

2669 Female 4 9 0 0 4129

2670 Female 3 16 0 0 4364

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.

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.

Hypothesis test results:
Outcomes in : Gender
Success : Male
p : Proportion of successes
H₀ : p = 0.5
H_A : p ≠ 0.5

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.

Hypothesis test results:
μ₁ : Mean of Loans where Gender = "Female"
μ₂ : Mean of Loans where Gender = "Male"
μ₁ - μ₂ : Difference between two means
H₀ : μ₁ - μ₂ = 0
H_A : μ₁ - μ₂ ≠ 0
(with pooled variances)

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.