HLT 362V

**HLT 362V (NEW)**

HLT 362V Entire Course NEW
HLT 362V Week 1 Assignment Workbook Exercise 6, 8, 9, 11, 16, 27 NEW
HLT 362V Week 1 Discussion Question 1 How Can Graphics and Statistics be Used to Misrepresent Data NEW
HLT 362V Week 1 Discussion Question 2 What Are The Characteristics Of A ..

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HLT 362V Week 1 Assignment Workbook Exercise 6, 8, 9, 11, 16, 27 NEW
Exercise 6
What are the frequency and percentage of the COPD patients in the severe airﬂow limitation group who are employed in the Eckerblad et al. (2014) study?
What percentage of the total sample is retired? W..

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HLT 362V Week 1 Discussion Question 1 How Can Graphics and Statistics be Used to Misrepresent Data NEW
How can graphics and/or statistics be used to misrepresent data? Where have you seen this done?
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HLT 362V Week 1 Discussion Question 2 What Are The Characteristics Of A Population NEW
What are the characteristics of a population for which it would be appropriate to use mean/median/mode? When would the characteristics of a population make them inappropriate to use?
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HLT 362V Week 2 Assignment Workbook Exercise 10, 18, 26 NEW
Exercise # 10
What demographic variables were measured at the nominal level of measurement in the Oh et al. (2014) study? Provide a rationale for your answer.
What statistics were calculated to describe body mass index (BMI) in t..

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HLT 362V Week 2 Discussion Question 1 Explain The Importance Of Random Sampling NEW
Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented?
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HLT 362V Week 2 Discussion Question 2 How Large Would Your Population NEW
How large would your population have to be for a sample to be appropriate (i.e., rather than measuring the whole population)?
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HLT 362V Week 3 Workbook Assignment Exercise 16, 17, 20, 31 and 32 NEW
Exercise # 16: Understanding Independent Samples t-Test
What do degrees of freedom (df ) mean? Canbulat et al. (2015) did not provide the dfs in their study. Why is it important to know the df for a t ratio? Using..

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HLT 362V Week 3 Discussion Question 1 Explain When a Z-Test Would Be Appropriate Over a T-Test NEW
Explain when a z-test would be appropriate over a t-test.
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HLT 362V Week 3 Discussion Question 2 Researchers Routinely Choose An α-Level of 0.05 For Testing Their Hypotheses NEW
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 ..

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HLT 362V Week 4 Assignment Workbook Exercise 18, 33 and 36 NEW
Exercise # 18: Understanding Analysis of Variance (ANOVA) and Post Hoc Analyses
Mayland et al. (2014) do not provide the degrees of freedom (df) in their study. Use the degrees of freedom formulas provided at the beginnin..

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HLT 362V Week 4 Discussion Question 1 If The Result Of An ANOVA Experiment Was “not Significant” NEW

HLT 362V Week 4 Discussion Question 1 If The Result Of An ANOVA Experiment Was “not Significant” NEW
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.
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HLT 362V Week 4 Discussion Question 2 What Is An Interaction NEW
What is an interaction? Describe an example; what are the variables within your population (work, social, academic, etc.) for which you might expect interactions?
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HLT 362V Week 5 Assignment Workbook Exercise 14 and 19, 23 and 24, 29 and 35 NEW
Exercise # 14: Understanding Simple Linear Regression
According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does the APLS UK formulae under- or overestimate the weight of ch..

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HLT 362V Week 5 Discussion Question 1 Describe The Error in The Conclusion NEW
Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conc..

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HLT 362V Week 5 Discussion Question 2 Now That You Are Familiar With The Basic Concepts Of Statistics NEW
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?
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