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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
- Why might it be a good idea to try out a software package before purchasing?
- 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?
- What is the difference between commercial and academic versions of statistical software programs? Why might a company offer two versions?
- What does open-source mean?
- What are some other details you should take into consideration before purchasing a software program?
DISCUSSION QUESTIONS
- Of the Internet sites listed in the chapter, which two would you be most likely to explore on your own? Why?
- What benefits can you list to having this information available to students and others interested in statistics?
- Are data sets available via the Web? Why might these sites be important to students in a statistics class?
- What are other statistical resources that are available online?
DISCUSSION QUESTIONS
- 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?
- 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?
- 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?
- 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!)
- What issues might you want to think about when planning a schedule for data collection? How will you allow for unforeseen events?
- Why is it important to keep data and not throw it out at the end of a study?
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