Problem 2.1, Check The Completed Questionnaires

General Instructions.

Include an APA title block with your name, class title, date, and the assignment number.   3. Include a table of contents and a reference section. Number your pages in the footer along with  the date. Include a header starting on page 2 with the Course and assignment number.  4. Write the problem number and the problem title as a level one heading (Example ‐ A.1.1:  Chapter 2, Problem 2.1, Check the Completed Questionnaires) and then provide your response.   5. Use level two headings with short titles for multi part questions (Example ‐ A1.1.a, Short Title,  A1.1.b, Short Title II, etc.)   

6.Use appropriate level headings for key elements of your discussion such as Research Questions,  Hypotheses, Descriptive Statistics, Assumptions & Conditions, Interpretation, Results, and  others. Your goal is to make your analysis easy to follow and logical.  7. Ensure that all tables and graphs are legible and include a figure number.   8. Carefully review your document prior to submission for formatting, flow, and readability. Keep  in mind that running the statistical tests is only the first half of the challenge; you must be able  to clearly communicate your findings to the reader! 

Assignment 1  

 A1.1: Chapter 2, Problem 2.1, Check the Completed Questionnaires. Write a short narrative of your process, and an interpretation of your findings.    

A1.2: Chapter 2, Problem 2.2, Define and Label the Variables.Write a short narrative of your 

process, and an interpretation of your findings. Include a screen shot of your Completed Variable View.   

A1.3: Chapter 2, Problem 2.3, Display your Dictionary or Codebook. Write a short narrative of your  process, and an interpretation of your findings. Include a screen shot of your Data Editor with the  updates included.      

A1.4: Chapter 2, Problem 2.5, Run Descriptives and Check the Data. Write a short narrative of your  process, and an interpretation of your findings. Cut and paste the Descriptive Statistics table directly into your document and refer to it in your interpretation.    

A1.5, Application Problem, Preparing Descriptive Statistics I. Using the “college student data.sav” file, do the following problems. Write a short narrative of your process and an interpretation of your findings.  Cut and paste your outputs directly into your document and refer to them in your interpretation.  

 a. Compute the N, minimum, maximum, and mean for all the variables in the college student ta file.  

b. How many students have complete data?  

c. Identify any statistics on the output that are meaningful. Explain your opinions.  

d. What is the mean height of the students?   

e. What about the average height of the same sex parent?   

f. What percentage of students are male?  

g. What percentage have children?

Write 300–500 words that respond to the following questions with your thoughts, ideas, and comments. Be substantive and clear, and use examples to reinforce your ideas.

Part 1: Ethics in Research

Choose 1 example of unethical research in a business setting, and discuss the following: 

  • Explain why research might be considered unethical.  
  • Explain what ethical considerations there are and how to avoid these issues in your research project.
  • Explain what components are needed in the introduction to a survey to address ethical concerns.

You may wish to review an example time line by clicking here.

Part 2: Preparing to Create Your Survey

Building on the organizational issue, problem, or topic that you identified in Unit 1, complete the following:

  • Write 1 research question regarding that topic.
  • Create 5 survey questions that would help answer your research question.
  • Write your hypothesis for your research question.

6 MCQs in Statistics …

(1) The best regression line is the one that:

Answer 

is furthest from the set of sample   data points.

has an S-shape.

maximizes the sum of the squared   errors.

minimizes the sum of the squared errors.

minimizes the coefficient of   determination r².

(2) Which of the following is a qualitative factor rather than a quantitative factor?

Answer 

Weekly sales for a company

New legislation

Total production cost

Gross national product

All of the above

(3) A consulting firm has received 2 Super Bowl playoff tickets from one of its clients. To be fair, the firm is randomly selecting two different employee names to ‘win’ the tickets. There are 6 secretaries, 5 consultants and 4 partners in the firm. Which of the following statements is not true?

Answer 

The probability of a secretary   winning a ticket on the first draw is 6/15.

The probability of a secretary winning a ticket on the second draw   given a consultant won a ticket on the first draw is 6/15.

The probability of a consultant   winning a ticket on the first draw is 1/3.

The probability of two secretaries   winning both tickets is 1/7.

(4) The efficiency of sample information is the ratio of the expected value of sample information to the:

Answer 

expected value of perfect information.

expected value.

utilization rate.

coefficient of optimism.

expected opportunity loss.

(5) Which of the following statements about scatter diagrams is true?

Answer 

Time is always plotted on the Y   axis.

It can depict the relationship   among three variables simultaneously.

It is helpful when forecasting   with qualitative data.

The variable to be forecasted is placed on the Y axis.

It is not a good tool for   understanding time-series data.

(6) The random error in a regression equation:

Answer 

is the predicted error.

includes both positive and negative terms.

will sum to a large positive   number.

is used the estimate the accuracy   of the slope.

is maximized in a least squares   regression model.

Quantitative Research Methods

Discussion Forum Instructions      

General Instructions    For each Discussion Forum Main Thread:    1. Include a title block with your name, class title, date, and the discussion forum number.   2. Write the question number and the question title as a level one heading (Example ‐ D1.1  Variables.) and then provide your response.   3. Use Level Two headings for multi part questions (D1.1 & D1.1.a, D1.1.b, etc.)  4. Be sure to properly cite any factual assertions.  5. Include a reference section.  6. Carefully review your discussion forum prior to submission for formatting, flow, and readability.    

  Respond to the following short answer questions:   

D1.1 Variables. What kind of independent variable (active or attribute) is necessary to infer cause? Can  one always infer cause from this type of independent variable? If so, why? If not, when can one infer  cause and when might causal inferences be more questionable?  

 D1.2 Research Questions I. Compare and contrast associational, difference, and descriptive types of  research questions.    

D1.3 Research Questions II. Using one or more of the following HSB variables; religion, mosaic pattern  test, or visualization score:    a. Write an association question  b. Write a difference question  c. Write a descriptive question  

D1.4 Data Coding I. Are there any other rules about data coding of questionnaires that you think should  be added to what you have studied? Are there any rules that you think should be modified? If so, which  ones, how should they be modified, and why?    

D1.5 Data Coding II. If you identified other problems with the completed questionnaires in Chapter 2  problem 2.1, what were they? How did you decide to handle the problems and why?    

D1.6 Data Coding III. Why is it important to check your raw (questionnaire) data before and after  entering them into the data editor? What are ways to check the data before entering them? What are  ways to check the data after entering them?