Statistics

Statistical application and the interpretation of data is important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the significance of statistical application in health care. Include the following:Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.Consider your organization or specialty area and how you utilize statistical knowledge. Discuss how you obtain statistical data, how statistical knowledge is used in day-to-day operations and how you apply it or use it in decision making.Three peer-reviewed, scholarly or professional references are required.Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

Write a 2- page critique of the research ( Not including page TITLE PAGE AND REFERENCE PAGE) you found in the includes responses to the following prompts: Why did the authors use moderation/mediation in their multiple regression model? Do you think moderation/mediation is the most appropriate choice? Why or why not? Did the authors display the results in a figure or table? Here are the grading criteria for the Article Critique Assignments: Paper provides a clear, 2–3 page critique of the article that displays the week’s assigned statistical test. The critique includes detailed responses to all of the following (a) the authors’ use of the particular test, (b) the extent to which the test was an appropriate choice to address the research question(s) of the study, (c) the authors’ appropriate use of visual data (if visual displays were provided), and (d) the extent to which the article results stand alone. Overall, the paper demonstrates an excellent understanding of the test and its application. Paper is well organized, uses scholarly tone, follows APA style, uses original writing and proper paraphrasing, contains very few or no writing and/or spelling errors, and is fully consistent with the graduate-level writing style. The paper contains multiple, appropriate, and exemplary sources expected/required for the assignment. The paper includes a clear description of the chosen variables, their unit of analysis, and their levels of measurement. A clear visual display of the data (if appropriate) is also provided, and a detailed description is given about how this quantitative reasoning and analysis skills will translate into the ability to enact positive social change. Overall, the paper demonstrates an excellent understanding of the chosen variables and their utility. Paper is well organized, uses scholarly tone, follows APA style, uses original writing and proper paraphrasing, contains very few or no writing and/or spelling errors, and is fully consistent with the graduate-level writing style. Paper contains multiple, appropriate and exemplary sources expected/required for the assignment. For more information on Multiple Regression Mediation read this:  https://en.wikipedia.org/wiki/Mediation_(statistics)

IDentify The Independent, Dependent, And Any Intervening Variables. Indicate Whether The Relationships Among Them Are Direct Or Inverse For more information on Intervening Variables read this: https://en.wikipedia.org/wiki/Mediation_(statistics)

Instructions In this assignment, you will calculate confidence intervals for the quantitative variables in the Heart Rate Dataset. Steps Open the Heart Rate Dataset in Excel and identify the quantitative variables Make sure the data is sorted by category (e.g.male-at-rest, female at-rest, etc.) Use the Data Analysis tools of Excel to construct 95% and 99% confidence intervals for all 8 categories of the sorted quantitative variables.  Excel will calculate the margin of error given as the “confidence interval” in the output. Use this margin of error to create your 8 confidence intervals by both adding and subtracting it from the sample mean (calculated in unit 3).  This creates a range of values that is the confidence interval. Create a Word document, and use your calculated results to explain what the confidence intervals tell us. What do these confidence intervals tell us about our heart rate data?  How would you interpret the 95% and 99% intervals for resting heart rate? Compare the 99% and 95% intervals and explain why one is larger than the other even though we use the same sample mean value. Additional Instructions: Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must include Running head A title page with Assignment name Your name Professor’s name Course For more information on Heart Rate Dataset read this: https://en.wikipedia.org/wiki/Echocardiography

IDentify The Independent, Dependent, And Any Intervening Variables. Indicate Whether The Relationships Among Them Are Direct Or Inverse For more information on Intervening Variables read this: https://en.wikipedia.org/wiki/Mediation_(statistics)

Write a 2- page critique of the research ( Not including page TITLE PAGE AND REFERENCE PAGE) you found in the includes responses to the following prompts: Why did the authors use moderation/mediation in their multiple regression model? Do you think moderation/mediation is the most appropriate choice? Why or why not? Did the authors display the results in a figure or table? Here are the grading criteria for the Article Critique Assignments: Paper provides a clear, 2–3 page critique of the article that displays the week’s assigned statistical test. The critique includes detailed responses to all of the following (a) the authors’ use of the particular test, (b) the extent to which the test was an appropriate choice to address the research question(s) of the study, (c) the authors’ appropriate use of visual data (if visual displays were provided), and (d) the extent to which the article results stand alone. Overall, the paper demonstrates an excellent understanding of the test and its application. Paper is well organized, uses scholarly tone, follows APA style, uses original writing and proper paraphrasing, contains very few or no writing and/or spelling errors, and is fully consistent with the graduate-level writing style. The paper contains multiple, appropriate, and exemplary sources expected/required for the assignment. The paper includes a clear description of the chosen variables, their unit of analysis, and their levels of measurement. A clear visual display of the data (if appropriate) is also provided, and a detailed description is given about how this quantitative reasoning and analysis skills will translate into the ability to enact positive social change. Overall, the paper demonstrates an excellent understanding of the chosen variables and their utility. Paper is well organized, uses scholarly tone, follows APA style, uses original writing and proper paraphrasing, contains very few or no writing and/or spelling errors, and is fully consistent with the graduate-level writing style. Paper contains multiple, appropriate and exemplary sources expected/required for the assignment. For more information on Multiple Regression Mediation read this:  https://en.wikipedia.org/wiki/Mediation_(statistics)

Instructions In this assignment, you will calculate confidence intervals for the quantitative variables in the Heart Rate Dataset. Steps Open the Heart Rate Dataset in Excel and identify the quantitative variables Make sure the data is sorted by category (e.g.male-at-rest, female at-rest, etc.) Use the Data Analysis tools of Excel to construct 95% and 99% confidence intervals for all 8 categories of the sorted quantitative variables.  Excel will calculate the margin of error given as the “confidence interval” in the output. Use this margin of error to create your 8 confidence intervals by both adding and subtracting it from the sample mean (calculated in unit 3).  This creates a range of values that is the confidence interval. Create a Word document, and use your calculated results to explain what the confidence intervals tell us. What do these confidence intervals tell us about our heart rate data?  How would you interpret the 95% and 99% intervals for resting heart rate? Compare the 99% and 95% intervals and explain why one is larger than the other even though we use the same sample mean value. Additional Instructions: Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must include Running head A title page with Assignment name Your name Professor’s name Course For more information on Heart Rate Dataset read this: https://en.wikipedia.org/wiki/Echocardiography

COMM 302 – Online: Final Exam Review Sheet This exam review sheet represents topics that will be on the exam in some form: True/False and Multiple-Choice questions. Suggestions: For each sub-heading, know the terminology associated AND how to use it in an example. Your book usually provides this, unless exclusively discussed in lecture. This list represents a guide of what the majority (90-95%) of the test will be on. I reserve the right to ask additional questions from the reading if necessary to ensure students are actually reading. Book = covered in our textbook, in that chapter; PLE = somewhere in the PLE “content” section Chapter 6: Summarizing Research Results (Descriptive Statistics) • Know the following terms: Univariate analysis, z Score, metrics, normal curve, skew, kurtosis (platykurtic, leptokurtic) (throughout the chapter) • What is the difference between descriptive and inferential statistics? (Book, PLE) • What are measures of central tendency? What are the measures of dispersion? (Book, PLE) • Be able to calculate a chi-square score. (Book, mainly PLE) Chapter 7: Inferential Statistics • Know the following terms: Bell Curve, degrees of freedom, type 1 error, type 2 error (throughout the chapter) • Know what each of the three tests we discussed in class (t-test, and correlation) is used for. (Book, PLE) Chapter 8: Sampling • What is a sample? What is a population? A census? (Book, PLE) • What is the difference between probability sampling and non-probability sampling? (Book, PLE) • Be able to list and describe different types of non-probability sampling. (Book, PLE) • Be able to list and describe different types of probability sampling. (Book, PLE) • What are the different ways to sample? (Book, PLE) Chapter 9: Surveys • What is a survey? What is a questionnaire? What is the scale? (Book, PLE) • Have a sense of the advantages and disadvantages of survey research. (Book, PLE) • What types of information do surveys generally try to acquire? (PLE) • Be able to list and describe the four different types of longitudinal surveys. (Book, PLE) • What are the different types of questions used in survey research? (Book, PLE) • What do “funnels,” “inverted funnels,” and “filters” have to do with surveys? (Book) Chapter 9: Experiments • Why bother with experiments to begin with? (Book) • Be able to draw and describe the basic experimental design. (Book, PLE) • What does “control” mean in relation to experiments? (Book) • What types of experiments have the lowest levels of control? Which has the highest? (Book, PLE) • Why does random assignment matter in experimental design? (Book, PLE) • What is the “Solomon Four Group Design?” (Book, PLE) Chapter 10: Watching & Listening – Qualitative Research • What are important decisions for any researcher conducting interview research? (Book) • What types of questions should be considered when conducting interview research? (Book) • What is needed for successful focus groups? (Book, PLE) • What are the key features of ethnographic/observational research? (Book, PLE) • How does a researcher’s level of involvement play a roll in his or her ability to conduct observational research? What is a consequential presence? (Book, PLE) • Be able to list different ways that you can conduct observational research. (Book, PLE) • What are the three ways of categorizing qualitative data? (Book) Chapter 12: Content Analysis • Content analysis can be described as “quantitative, systematic, objective, and manifest.” What does this all mean? (Book, PLE) • What goes into conducting a simple content analysis? (Book, PLE) • What is inter-coder reliability and why is it important to conduct a content analysis? (Book, PLE) • What is “Interaction Analysis?” (Book) Chapter 14: Reporting Research • What is an abstract? Why might you want to write one? (PLE, common sense) • Why writing for scholarly publics, what three aspects should you consider? Be able to describe each one and its importance. (Book, PLE) • In addition to academic publishers, what are some “other publics” that researchers might want to write for? What changes? (Book)

Statistical application and the interpretation of data is important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the significance of statistical application in health care. Include the following:Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.Consider your organization or specialty area and how you utilize statistical knowledge. Discuss how you obtain statistical data, how statistical knowledge is used in day-to-day operations and how you apply it or use it in decision making.Three peer-reviewed, scholarly or professional references are required.Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

How can someone help me taking a Statistic course on myStatlab?