Explain the importance of random sampling what


Nursing Assignment for (Statistic) HLT- 362V

Topic - GCU

Q1. How can graphics and/or statistics be used to misrepresent data? Where have you seen this done?

Q2. 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?

Q3. Use MS Word to complete "Questions to be Graded: Exercise 27" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate.

Complete Exercises 6, 8, and 9 in Statistics for Nursing Research: A Workbook for Evidence-Based Practice, and submit as directed by the instructor.

Q4. Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented?

Q5. Explain each sampling technique discussed in the "Visual Learner: Statistics" in your own words, and give examples of when each technique would be appropriate.

Q6. Complete Exercise 10 in Statistics for Nursing Research: A Workbook for Evidence-Based Practice, and submit as directed by the instructor.

Use MS Word to complete "Questions to be Graded: Exercise 26" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate.

Q7. Explain when a z-test would be appropriate over a t-test.

Q8. 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)?

Q9. Complete Exercises 16 and 17 in Statistics for Nursing Research: A Workbook for Evidence-Based Practice, and submit as directed by the instructor.

Use MS Word to complete "Questions to be Graded: Exercises 31 and 32" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate.

Q10. How would you explain the analysis of variance, assuming that your audience has not had a statistics class before?

Q11. What is an interaction? Describe an example and identify the variables within your population (work, social, academic, etc.) for which you might expect interactions?

Q12. Complete Exercise 18 in Statistics for Nursing Research: A Workbook for Evidence-Based Practice, and submit as directed by the instructor.

Q13. Use MS Word to complete "Questions to be Graded: Exercise 33" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate.

Q14. 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.

Q15. 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?

Q16. Complete Exercises 14 and 19 in Statistics for Nursing Research: A Workbook for Evidence-Based Practice, and submit as directed by the instructor.

Use MS Word to complete "Questions to be Graded: Exercises 29 and 35" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate.

References - APA (Ignore if not required).

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