HLT 362V All Discussion Questions Week 1 – 5

HLT 362V Applied Statistics for Health Care Professionals – Grand Canyon

 

HLT 362V Week 1 Discussion Question 1: 
How could graphics and/or statistics be used to misrepresent data? Where have you seen this done?

HLT 362V Week 1 Discussion Question 2: 
What are the characteristics of a population for which a mean/median/mode would be appropriate? Inappropriate?

HLT 362V Week 2 Discussion Question 1: 
Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented?

HLT 362V Week 2 Discussion Question 2: 
How large would your population have to be for a sample to be appropriate (i.e., rather than measuring the whole population)?

HLT 362V Week 3 Discussion Question 1: 
Suppose you hear an “old-timer” say, “Why, in my day, kids were much more respectful and didn’t cause as much trouble as they do nowadays!” Formulate a hypothesis related to this statement that you could test. How would you test it?

HLT 362V Week 3 Discussion Question 2: 
Researchers routinely choose an α-level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower α -level (e.g. 0.01)? What are some situations in which you might accept a higher level (e.g. 0.1)?

HLT 362V Week 4 Discussion Question 1: 
If the result of an ANOVA experiment was “not significant”, was the experiment a failure? Provide reasoning and examples (real or hypothetical) to support your argument.

HLT 362V Week 4 Discussion Question 2: 
What is an interaction? Describe an example; what are the variables within your population (work, social, academic, etc.) for which you might expect interactions?

HLT’362V Week 5 Discussion Question 1: 
Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately?

HLT.362V Week 5 Discussion Question 2: 
What is an example in the world around you for which you would use a Chi-square analysis?

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