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Walden University Statistical Process Control for Failure Rates Discussion
Ross, T. K. (2014). Health care quality management: Tools and applications. San Francisco, CA: Jossey-Bass.
Chapter 7, ...
Walden University Statistical Process Control for Failure Rates Discussion
Ross, T. K. (2014). Health care quality management: Tools and applications. San Francisco, CA: Jossey-Bass.
Chapter 7, "Statistical Process Control for Monitoring Failure Rates” (pp. 265–299)
Arthur, J. (2016). Statistical process control for health care. Quality Digest. Available at https://www.qualitydigest.com/currentmag/articles/03_article.shtml
U.S. Department of Commerce, National Institute of Standards and Technology. (2016). NIST/SEMATECH e-handbook of statistical methods. Retrieved from http://www.itl.nist.gov/div898/handbook
Required Media
Emmanuel, J. (2015c). Statistical process control: Control charts for proportions (p-chart). Retrieved from https://www.youtube.com/watch?v=LSd-1CJQbs8
Discussion: Statistical Process Control for Failure Rates
P and np charts are appropriate for dichotomous data in categorizing which processes are in control and which processes are failing. As a current or future health care administration leader, your commitment to quality will reinforce the use of these charts to execute decision making for the promotion of efficient and effective health care delivery systems.
For this Discussion, review the resources for this week regarding control charts for attribute variables. Then, evaluate how your organization, or one with which you are familiar, might use the control chart to evaluate whether a process is in control.
NOTE: For this Discussion, you will be required to run the SPSS software platform.
By Day 3
Post a description of one of the control charts presented in the resources for this week and explain a process where it might be used. Be specific and provide examples. Then, create the appropriate control chart for the process you described using fictitious data. Attach this chart to your discussion. Do not use real data. Explain whether the process you chose is under control or not, and explain why. Attach the SPSS sheet.
Evaluating Significance of Findings
Part of your task as a scholar-practitioner is to act as a critical consumer of research and ask informed questions of pub ...
Evaluating Significance of Findings
Part of your task as a scholar-practitioner is to act as a critical consumer of research and ask informed questions of published material. Sometimes, claims are made that do not match the results of the analysis. Unfortunately, this is why statistics is sometimes unfairly associated with telling lies. These misalignment's might not be solely attributable to statistical nonsense, but also “user error.” One of the greatest areas of user error is within the practice of hypothesis testing and interpreting statistical significance. As you continue to consume research, be sure and read everything with a critical eye and call out statements that do not match the results.For this assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the scenarios found in attached and select two of the four scenarios for this assignment.Review the attached learning resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog to further your visualization and understanding of statistical power and significance testing. http://rpsychologist.com/index.htmlFollow the attached guidelines for assistance when completing the assignment. To complete the assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample sizeCritically evaluate the statements of meaningfulnessCritically evaluate the statements for statistical significanceBased on your evaluation, provide an explanation of the implications for social changeBe sure to support your writing with a minimum of three scholarly articles. APA Format. 3-4 pages.
Walden University Quantative Reasoning and Analysis Case Study
Part 1Answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close atten ...
Walden University Quantative Reasoning and Analysis Case Study
Part 1Answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are metric level variables.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose).
Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.Part 2Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) .Consider the following: Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well. Then write a 2 page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research question, and display of output.Required Readings
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 2, “Transforming Variables” (pp. 14–32)
Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, 8, and 9)
Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 6, “What are the Assumptions of Multiple Regression?” (pp. 119–136)
Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 7, “What can be done about Multicollinearity?” (pp. 137–152)
Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications.Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 12, “Dummy Predictor Variables in Multiple Regression”
Texas A&M University Kingsville Correlation and Regression Discussion
Let's discuss the difference between positive association and negative association when describing the relationship bet ...
Texas A&M University Kingsville Correlation and Regression Discussion
Let's discuss the difference between positive association and negative association when describing the relationship between two variables. What do we mean by the least-square criterion? Give a general description of how the least-square criterion is involve in the construction of the least-square line. Why do we say the least-squares line is the “best-fitting” line for the data set?
Use the Internet and find a magazine or journal article in your field of major interest wherein the content of this chapter (Correlation and Regression – chapter 6) could be applied. List the variables used, method of data collection, and the general type of information and conclusion drawn.
Week 4 lab
Create plots for the three binomial distributions above.You can create the scatter plots in Excel by selecting the data yo ...
Week 4 lab
Create plots for the three binomial distributions above.You can create the scatter plots in Excel by selecting the data you want plotted, clicking on INSERT, CHARTS, SCATTER, then selecting the first chart shown which is dots with no connecting lines.
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Most Popular Content
Walden University Statistical Process Control for Failure Rates Discussion
Ross, T. K. (2014). Health care quality management: Tools and applications. San Francisco, CA: Jossey-Bass.
Chapter 7, ...
Walden University Statistical Process Control for Failure Rates Discussion
Ross, T. K. (2014). Health care quality management: Tools and applications. San Francisco, CA: Jossey-Bass.
Chapter 7, "Statistical Process Control for Monitoring Failure Rates” (pp. 265–299)
Arthur, J. (2016). Statistical process control for health care. Quality Digest. Available at https://www.qualitydigest.com/currentmag/articles/03_article.shtml
U.S. Department of Commerce, National Institute of Standards and Technology. (2016). NIST/SEMATECH e-handbook of statistical methods. Retrieved from http://www.itl.nist.gov/div898/handbook
Required Media
Emmanuel, J. (2015c). Statistical process control: Control charts for proportions (p-chart). Retrieved from https://www.youtube.com/watch?v=LSd-1CJQbs8
Discussion: Statistical Process Control for Failure Rates
P and np charts are appropriate for dichotomous data in categorizing which processes are in control and which processes are failing. As a current or future health care administration leader, your commitment to quality will reinforce the use of these charts to execute decision making for the promotion of efficient and effective health care delivery systems.
For this Discussion, review the resources for this week regarding control charts for attribute variables. Then, evaluate how your organization, or one with which you are familiar, might use the control chart to evaluate whether a process is in control.
NOTE: For this Discussion, you will be required to run the SPSS software platform.
By Day 3
Post a description of one of the control charts presented in the resources for this week and explain a process where it might be used. Be specific and provide examples. Then, create the appropriate control chart for the process you described using fictitious data. Attach this chart to your discussion. Do not use real data. Explain whether the process you chose is under control or not, and explain why. Attach the SPSS sheet.
Evaluating Significance of Findings
Part of your task as a scholar-practitioner is to act as a critical consumer of research and ask informed questions of pub ...
Evaluating Significance of Findings
Part of your task as a scholar-practitioner is to act as a critical consumer of research and ask informed questions of published material. Sometimes, claims are made that do not match the results of the analysis. Unfortunately, this is why statistics is sometimes unfairly associated with telling lies. These misalignment's might not be solely attributable to statistical nonsense, but also “user error.” One of the greatest areas of user error is within the practice of hypothesis testing and interpreting statistical significance. As you continue to consume research, be sure and read everything with a critical eye and call out statements that do not match the results.For this assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the scenarios found in attached and select two of the four scenarios for this assignment.Review the attached learning resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog to further your visualization and understanding of statistical power and significance testing. http://rpsychologist.com/index.htmlFollow the attached guidelines for assistance when completing the assignment. To complete the assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample sizeCritically evaluate the statements of meaningfulnessCritically evaluate the statements for statistical significanceBased on your evaluation, provide an explanation of the implications for social changeBe sure to support your writing with a minimum of three scholarly articles. APA Format. 3-4 pages.
Walden University Quantative Reasoning and Analysis Case Study
Part 1Answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close atten ...
Walden University Quantative Reasoning and Analysis Case Study
Part 1Answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are metric level variables.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose).
Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.Part 2Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) .Consider the following: Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well. Then write a 2 page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research question, and display of output.Required Readings
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 2, “Transforming Variables” (pp. 14–32)
Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, 8, and 9)
Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 6, “What are the Assumptions of Multiple Regression?” (pp. 119–136)
Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 7, “What can be done about Multicollinearity?” (pp. 137–152)
Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications.Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 12, “Dummy Predictor Variables in Multiple Regression”
Texas A&M University Kingsville Correlation and Regression Discussion
Let's discuss the difference between positive association and negative association when describing the relationship bet ...
Texas A&M University Kingsville Correlation and Regression Discussion
Let's discuss the difference between positive association and negative association when describing the relationship between two variables. What do we mean by the least-square criterion? Give a general description of how the least-square criterion is involve in the construction of the least-square line. Why do we say the least-squares line is the “best-fitting” line for the data set?
Use the Internet and find a magazine or journal article in your field of major interest wherein the content of this chapter (Correlation and Regression – chapter 6) could be applied. List the variables used, method of data collection, and the general type of information and conclusion drawn.
Week 4 lab
Create plots for the three binomial distributions above.You can create the scatter plots in Excel by selecting the data yo ...
Week 4 lab
Create plots for the three binomial distributions above.You can create the scatter plots in Excel by selecting the data you want plotted, clicking on INSERT, CHARTS, SCATTER, then selecting the first chart shown which is dots with no connecting lines.
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