Question: Student Project: Chapter 7 18. Choose one experimental design and give some details. 19. Give some details about your test marketing. Student Project: Chapter 8

  • Student Project: Chapter 7
  • 18. Choose one experimental design and give some details.
  • 19. Give some details about your test marketing.
  • Student Project: Chapter 8
  • 20. Choose one comparative scale and give some details.
  • Student Project: Chapter 9
  • 21. Choose one noncomparative scale and give some details.
  • 22. How will you perform scale evaluation?
  • Student Project: Chapter 10 (Note: You can do question 23 on a computer)
  • 23. Make a questionnaire with three parts: A, B, C.
  • Part A basic info: includes the qualifying question, question to build relationship, a skip question, sensitive question, and the other questions you want answered. 10 questions.
  • First question should be qualifying (structured) and second question to build goodwill (unstructured).
  • The last question should be sensitive or embarrassing. And put one skip question in the middle. Do not forget instructions.
  • Questions 3-10 should be structured.
  • Part B classification info: includes demographic info, income should be last
  • Part C identification info: includes identification info, telephone number should be last
  • Student Project: Chapter 11
  • 24. Prepare the five parts of a sampling design process for your company.
  • Student Project: Chapter 11
  • 25. Give details of one nonprobabilty sampling technique that youll use
  • 26. Give details of one probability sampling technique that youll use
  • Student Project: Chapter 12
  • 27. Describe the procedure for determining the sample size necessary to estimate a population mean, given the degree of precision and confidence and a known population variance. After the sample is selected, how is the confidence interval generated?
  • 28. How would your procedure be different in Question 24 if the population variance was unknown. (Hint: step 7 on page 377)
  • 29. How is the sample size affected when the degree of confidence with which a population mean is estimated is increased from 95 percent to 99 percent?
  • 30. Define what is meant by absolute precision and relative precision when estimating a population proportion.
  • 31. Describe the procedure for determining the sample size necessary to estimate a population proportion, given the degree of precision and confidence. After the sample is selected, how is the confidence interval generated?
  • 32. Define incidence rate and completion rate. How do these rates affect the determination of the final sample size?
  • 33. What strategies are available to adjust for nonresponse?
  • Student Project: Chapter 13
  • 34. Explain about the fieldwork/data collection process in your research project.
  • Student Project: Chapter 14
  • 35. Explain about the data-preparation process in your research project.

  • Chapter 15
  • 36. What is the major difference between parametric and nonparametric tests?
  • 37. What is the major difference between cross-tabulation and frequency distribution?
  • 38. What is the third step in the general procedure for hypothesis testing?
  • Student Project: Chapter 16
  • 39. What is the main difference between analysis of variance and analysis of covariance?
  • 40. What is the null hypothesis in one-way ANOVA?
  • 41. What basic statistic is used to test the null hypothesis in one-way ANOVA?
  • Student Project: Chapter 17
  • 42. Does a product moment correlation of 0 between two variables imply that the variables are not related to each other?
  • 43. What is gained by an examination of the residuals?
  • 44. What is multicollinearity?
  • Student Project: Chapter 18
  • 45. What is the main distinction between two-group and multiple discriminant analysis?
  • 46. What is an eigenvalue?
  • 47. How should the total sample be split for estimation and validation purposes?
  • 48. When can you use the logic model?

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