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Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line fo ...
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concept being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
Application of Statistical Tools
As a current or future health care administration leader, you may be required to apply the use of statistical tools to mea ...
Application of Statistical Tools
As a current or future health care administration leader, you may be required to apply the use of statistical tools to measure performance improvement in your health services organization. As you have examined throughout this course, there are a variety of statistical tools at your disposal that will allow you to enhance your decision-making skills to enhance effective health care delivery in your health services organization. The statistical tools explored this week, such as chi-square, ANOVA, and regression, are all useful in helping you identify the association between certain causes of inefficiency as well as identify those performance improvement initiatives that have been most effective in reducing such inefficiencies.Review the resources regarding these techniques and think about how your health services organization, or one with which you are familiar, might use these techniques in practice.Describe of one of the methods presented in the resources for this week and explain how it might be used as part of a performance improvement initiative within your health services organization or an organization with which you are familiar. Be specific and provide examples. Using fictitious data, demonstrate the use of this statistical method and interpret all results. What are other statistical techniques that might be useful for your example?NOTE: For this Discussion, you will be required to run the SPSS software platform. Attach this chart Ross, T. K. (2014). Health care quality management: Tools and applications. San Francisco, CA: Jossey-Bass.
Chapter 9, "Exploring Quality Issues With Statistical Tools” (pp. 333–371)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
Chapter 1.3.5, “Quantitative Techniques”
6 pages
Math Studypool
A water tank has an inlet pipe with a flow rate of 5 gallons per minute and an outlet pipe with a flow rate of 3 gallons p ...
Math Studypool
A water tank has an inlet pipe with a flow rate of 5 gallons per minute and an outlet pipe with a flow rate of 3 gallons per minute. A pipe can be ...
Statistics Data Analysis: Gun Control discussion
Part 1: Using the topic Gun Control and the Gun Control codebook complete the following tasks: (I WILL PROVIDE THIS INFO)D ...
Statistics Data Analysis: Gun Control discussion
Part 1: Using the topic Gun Control and the Gun Control codebook complete the following tasks: (I WILL PROVIDE THIS INFO)Develop a theory.Develop a corresponding hypothesisIdentify the independent (IV) and dependent (DV) variables in your hypothesisOperationalize your independent and dependent variables.Identify the level of measurement (LOM) of the independent and dependent variables in your hypothesis.Part 2: Using the Gun Control dataset complete the following tasks: ( I WILL PROVIDE IT) Run frequencies on the variables:Religion.Education.OwnGun.CauseViolence.AmericanOwn.ConcealedWeapons.Summarize your findings.Using the Gun Control dataset complete the following tasks:Run the measures of central tendency (MOCT) that correspond with each of the following variables’ levels of measurement (LOM):Religion.Education.OwnGun.CauseViolence.AmericanOwn.ConcealedWeapons.Summarize your findings.Part 4: Using the Gun Control dataset complete the following tasks:Run the measures of variability (MOV) that correspond with each of the following variables’ LOM:Religion.Education.OwnGun.CauseViolence.AmericanOwn.ConcealedWeapons.Summarize your findings.
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Most Popular Content
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line fo ...
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concept being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
Application of Statistical Tools
As a current or future health care administration leader, you may be required to apply the use of statistical tools to mea ...
Application of Statistical Tools
As a current or future health care administration leader, you may be required to apply the use of statistical tools to measure performance improvement in your health services organization. As you have examined throughout this course, there are a variety of statistical tools at your disposal that will allow you to enhance your decision-making skills to enhance effective health care delivery in your health services organization. The statistical tools explored this week, such as chi-square, ANOVA, and regression, are all useful in helping you identify the association between certain causes of inefficiency as well as identify those performance improvement initiatives that have been most effective in reducing such inefficiencies.Review the resources regarding these techniques and think about how your health services organization, or one with which you are familiar, might use these techniques in practice.Describe of one of the methods presented in the resources for this week and explain how it might be used as part of a performance improvement initiative within your health services organization or an organization with which you are familiar. Be specific and provide examples. Using fictitious data, demonstrate the use of this statistical method and interpret all results. What are other statistical techniques that might be useful for your example?NOTE: For this Discussion, you will be required to run the SPSS software platform. Attach this chart Ross, T. K. (2014). Health care quality management: Tools and applications. San Francisco, CA: Jossey-Bass.
Chapter 9, "Exploring Quality Issues With Statistical Tools” (pp. 333–371)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
Chapter 1.3.5, “Quantitative Techniques”
6 pages
Math Studypool
A water tank has an inlet pipe with a flow rate of 5 gallons per minute and an outlet pipe with a flow rate of 3 gallons p ...
Math Studypool
A water tank has an inlet pipe with a flow rate of 5 gallons per minute and an outlet pipe with a flow rate of 3 gallons per minute. A pipe can be ...
Statistics Data Analysis: Gun Control discussion
Part 1: Using the topic Gun Control and the Gun Control codebook complete the following tasks: (I WILL PROVIDE THIS INFO)D ...
Statistics Data Analysis: Gun Control discussion
Part 1: Using the topic Gun Control and the Gun Control codebook complete the following tasks: (I WILL PROVIDE THIS INFO)Develop a theory.Develop a corresponding hypothesisIdentify the independent (IV) and dependent (DV) variables in your hypothesisOperationalize your independent and dependent variables.Identify the level of measurement (LOM) of the independent and dependent variables in your hypothesis.Part 2: Using the Gun Control dataset complete the following tasks: ( I WILL PROVIDE IT) Run frequencies on the variables:Religion.Education.OwnGun.CauseViolence.AmericanOwn.ConcealedWeapons.Summarize your findings.Using the Gun Control dataset complete the following tasks:Run the measures of central tendency (MOCT) that correspond with each of the following variables’ levels of measurement (LOM):Religion.Education.OwnGun.CauseViolence.AmericanOwn.ConcealedWeapons.Summarize your findings.Part 4: Using the Gun Control dataset complete the following tasks:Run the measures of variability (MOV) that correspond with each of the following variables’ LOM:Religion.Education.OwnGun.CauseViolence.AmericanOwn.ConcealedWeapons.Summarize your findings.
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