# Explain each sampling technique discussed in the “Visual Learner: Statistics” in your own words, and give examples of when each technique would be appropriate.

Explain each sampling technique discussed in the “Visual Learner: Statistics” in your own words, and give examples of when each technique would be appropriate.

Week 1
How can graphics and/or statistics be used to misrepresent data? Where have you seen this done?
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?
Week 2
Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented?
Explain each sampling technique discussed in the “Visual Learner: Statistics” in your own words, and give examples of when each technique would be appropriate.
Week 3
Explain when a z-test would be appropriate over a t-test.
Researchers routinely choose an alpha level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., 0.01)?
What are some situations in which you might accept a higher level (e.g., 0.1)?
Week 4
How would you explain the analysis of variance, assuming that your audience has not had a statistics class before?
What is an interaction? Describe an example and identify the variables within your population (work, social, academic, etc.) for which you might expect interactions?
Week 5
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. Conclusion: Cigarettes cause the pulse rate to increase.
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?
Week 1
Workbook Exercises 11 and 16Details:
Complete Exercises 11 and 16 in Statistics for Health Care Research: A Practical Workbook,and submit as directed by the instructor.
In order to receive full credit on calculated answers, please show your work. (Use Word’s equation editors, etc., and/or provide a short written description as to how you
obtained the final result.)
Mean, Variance and Standard Deviation Excel Workshee
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Details:
Refer to the “Visual Learner: Statistics” for examples to help complete the problems in the “Topic 1: Mean, Variance, and Standard Deviation” worksheet. Also, to aide in
the Excel calculations, view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided.
Week 2
Workbook Exercise 18
Complete Exercise 18 inStatistics for Health Care Research: A Practical Workbook.
In order to receive full credit on calculated answers, please show your work. (Use Word’s equation editor, etc., and/or provide a short written description as to how you
obtained the final result.)
Population and Sampling Distribution Excel Worksheet
Refer to “Visual Learner: Statistics” for examples to help complete the problems in the “Topic 2: Population and Sampling Distribution Excel Worksheet.” Also, to aide in
the Excel calculations, view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided.
Week 3
Workbook Exercise 20
Complete Exercise 20 in Statistics forHealth Care Research: A Practical Workbook.
In order to receive full credit on calculated answers, please show your work. (Use Word’s equation editor, etc., and/or provide a short written description as to how you
obtained the final result.)
Benchmark Assignment – Hypothesis Testing Excel Worksheet
Refer to the “Visual Learner: Statistics” for examples to help complete the problems in the “Hypothesis Testing” worksheet. Also, to aide in the Excel calculations, view
the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided.
Week 4
Workbook Exercise 36
Complete Exercise 36 inStatistics for Health Care Research: A Practical Workbook.
In order to receive full credit on calculated answers, please show your work. (Use Word’s equation editor, etc., and/or provides a short written description as to how you
obtained the final result.)
ANOVA Excel Worksheet
Refer to the “Visual Learner: Statistics” for examples to help complete the problems in the “Topic 4: ANOVA Excel Worksheet.” Also, to aide in the Excel calculations,
view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided.
Week 5
Refer to the “Visual Learner: Statistics” for examples to help complete the problems in the “Topic 4: ANOVA Excel Worksheet.” Also, to aide in the Excel calculations,
view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided.
Complete Exercise 23 and 24 inStatistics for Health Care Research: A Practical Workbook.
In order to receive full credit on calculated answers, please show your work. (Use Word’s equation editor, etc., and/or provides a short written description as to how you
obtained the final result.) Exercise 24 includes 10 questions and a bonus question. Answer all questions including the bonus question.
Assignment (https://lc-ugrad1.gcu.edu/learningPlatform/assignment/assignment.html?operation=studentAllAssignmentList) Correlation/Regression and Chi Square Excel
Worksheet
Refer to the “Visual Learner: Statistics” for examples to help complete the problems in the “Topic 5: Correlation/Regression and Chi Square Excel Worksheet.” Also, to
aide in the Excel calculations, view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided.

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