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Statistics in Kinesiology Chapters 19,20 and 21 eBook PDF link: https://p302.zlibcdn.com/dtoken/b7ca581cbe672a76f7617fd8770a4200#page434 DISCUSSION QUESTIONS Why might it be a good idea to try out a software

Statistics in Kinesiology

Chapters 19,20 and 21

eBook PDF link: https://p302.zlibcdn.com/dtoken/b7ca581cbe672a76f7617fd8770a4200#page434

DISCUSSION QUESTIONS

  1. Why might it be a good idea to try out a software package before purchasing?
  2. Aside from purchasing software through the manufacturer, are there other ways in which you can obtain software packages? What are they? Which is the least expensive approach?
  3. What is the difference between commercial and academic versions of statistical software programs? Why might a company offer two versions?
  4. What does open-source mean?
  5. What are some other details you should take into consideration before purchasing a software program?

DISCUSSION QUESTIONS

  1. Of the Internet sites listed in the chapter, which two would you be most likely to explore on your own? Why?
  2. What benefits can you list to having this information available to students and others interested in statistics?
  3. Are data sets available via the Web? Why might these sites be important to students in a statistics class?
  4. What are other statistical resources that are available online?

DISCUSSION QUESTIONS

  1. Data collection is an important topic for those who conduct research. Why do you think researchers need to be concerned with issues of data collection?
  2. How is the research question you pose related to data collection? What are ways you can determine the best method for addressing a research question?
  3. Why might a researcher want to "pilot" data collection forms? What information can be obtained by piloting your methods prior to full implementation of your study?
  4. How can you be sure that you keep your data backed up? Sometimes, it may be important to have a system for backing up your research. What possible systems might you use? (Some people actually keep their data in the refrigerator!)
  5. What issues might you want to think about when planning a schedule for data collection? How will you allow for unforeseen events?
  6. Why is it important to keep data and not throw it out at the end of a study?

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