Data Analysis Methods Chapter Exam

Exam Instructions:

Choose your answers to the questions and click 'Next' to see the next set of questions. You can skip questions if you would like and come back to them later with the yellow "Go To First Skipped Question" button. When you have completed the practice exam, a green submit button will appear. Click it to see your results. Good luck!

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Question 1 1. When creating a positive brand image, what do you want them to think about your product?

Question 2 2. What is part of measuring qualitative analysis?

Question 3 3. Which is NOT true about customer satisfaction?

Question 4 4. Which technique is used with qualitative research?

Question 5 5. Quantitative analysis focuses on what?

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Question 6 6. Identify which of the following is NOT an example of descriptive statistics:

Question 7 7. What is another name for the fishbone diagram?

Question 8 8. Which technique tracks the behavior or actions of participants?

Question 9 9. When a mortgage company needs to predict what interest rates will be three years from now, it will use:

Question 10 10. Which method of data analyses focuses on characteristics?

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Question 11 11. A grocery store chain has a large database of customer demographic information. It would like to search for patterns in grocery purchases. The BI tool it will use is _____.

Question 12 12. How does quantitative analysis determine business decisions?

Question 13 13. A candy company is introducing a new brand of chocolate to the market. They have advertised heavily, investing $8,000,000 in New York, but no ads were run in Boston. After analyzing the data, they have found no statistically significant difference between their sales in New York and Boston. Why is this an example of inferential statistics?

Question 14 14. Why is marketing analysis important?

Question 15 15. A company is trying to determine what products it should develop in the next 10 years. They are analyzing data from their sales, as well as the data from the leading 10 companies in the industry in order to try and find a pattern of what products could be most successful. What type of statistics is the company using?

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Question 16 16. What is the goal of the identify root cause step in a root cause analysis?

Question 17 17. When analyzing purchasing which is most important?

Question 18 18. Why is it important to compare your yearly sales?

Question 19 19. What are the 4 steps in a root cause analysis?

Question 20 20. What is the definition of root cause analysis?

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Question 21 21. What should you do if you determine the root cause and find that it is out of your control?

Question 22 22. What is the term for a written list of things that you can do to change things for the better and achieve your specific goal?

Question 23 23. A marketing manager for a car manufacturer would like to know how many vehicles made in its Sonora factory were sold to customers in Germany last month. He would also like a mailing list of the German dealers who sold them. To get the answer, the marketing manager should use _____.

Question 24 24. Which common root cause analysis tool is used when there is likely a single cause to a single problem?

Question 25 25. How many times must we ask the question 'why'?

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Question 26 26. Why does statistics often refer to being 95% confident and not 100%?

Question 27 27. What is the purpose of using a 5 Whys analysis?

Question 28 28. When analyzing purchasing, which is NOT true?

Question 29 29. Which of the following is NOT done by statistical software?

Question 30 30. Business intelligence employs tools such as database management, data mining, and decision support systems. What other tool can be used in BI?

Data Analysis Methods Chapter Exam Instructions

Choose your answers to the questions and click 'Next' to see the next set of questions. You can skip questions if you would like and come back to them later with the yellow "Go To First Skipped Question" button. When you have completed the practice exam, a green submit button will appear. Click it to see your results. Good luck!

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