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Statistics in Everyday Life, statistics assignment help
Statistics in Everyday Life*** Original answer with references! must be a minimum of 300 words
...
Statistics in Everyday Life, statistics assignment help
Statistics in Everyday Life*** Original answer with references! must be a minimum of 300 words
Provide an example for using Baye’s Theorem in a workplace setting, as described in the article “Applying Bayes’ Theorem to Clinical Trials.” Does statistics also have uses in everyday life? Provide an example
Regression models and Reducing readmissions BRIEF to the Board of Directors
Part 1 Building Regression Models in Health Care Finding evidence-based relationships among variables is an important ...
Regression models and Reducing readmissions BRIEF to the Board of Directors
Part 1 Building Regression Models in Health Care Finding evidence-based relationships among variables is an important tool for any healthcare administration leader. On a daily basis, healthcare administration leaders may want to see what variables are correlated so that they can implement quality improvement.This week, you think of scenarios where building and interpreting regression models would be useful for healthcare administration leaders. You might consider building off. For example, Jenna, a healthcare administration leader, determined last week that patient satisfaction scores had fallen from the mean of 87. She wants to know why. She believes that it may have something to do with patient waiting time and time spent with the doctor. Thus, her dependent variable (y) is patient satisfaction and the independent variables are waiting time (x1) and time spent with the doctor (x2). She can evaluate the relationship between these two variables using correlation; bivariate scatterplots for y vs. x1 and y vs. x2; and regression techniques. For this Discussion, think about a healthcare scenario where multiple regression might be useful in your organization or one with which you are familiar. Consider what your dependent and independent variables might be for conducting a multiple regression analysis. Build a small example, and run the regression analysis.PART 2 REGRESSION MODELING Regression modeling is a foundational skill for those conducting secondary data analysis, much like you will encounter in the completion of the Doctor of Healthcare Administration (DHA) program. Additionally, regression modeling assists in finding connections among multiple variables and one dependent variable. Consider, for example, a healthcare administrator who may be asked to develop or interpret models of patient satisfaction based on other quantitative or dichotomous variables. For this Assignment, review the resources for this week. Complete Case Study. The case study is based on a real-world problem. (3–5 pages) Complete Case Study 11.1, "Artsy Corporation," using SPSS. Submit your answers and embedded analysis (SPSS and other analysis) as a Microsoft Word management report References: Albright, S. C., & Winston, W. L. (2015). Business analytics: Data analysis and decision making (5th ed.). Stamford, CT: Cengage Learning. Chapter 10, "Regression Analysis: Estimating Relationships" (pp. 463–531) Chapter 11, "Regression Analysis: Statistical Inference" (pp. 532–589) Fulton, L., Lasdon, L. S., & McDaniel, R. R. (2007). Cost drivers and resource allocation in military health care systems. Military Medicine, 172(3), 244–249. Note: Retrieved from the Walden Library databases. PART 3: Reducing Readmissions: Brief to the Board of Directors In an effort to reduce the high costs of health care, health care executives, physicians, and clinical staff establish guidelines to minimize the rates of readmissions for patients. While certain medical conditions may require that patients are readmitted into health care organizations, for less urgent or extensive medical conditions, ensuring that health care service is administered effectively the first time will go a long way in minimizing readmission. From a financial standpoint, patient readmissions constrict health care services, resources, and staff that would otherwise be used to treat new patient cases. From effective health care delivery, a patient who is readmitted may be an indication of poor quality health care delivery, ineffective process workflows, or inefficient patient care. Review the resources.Reflect on how health care executives might address the board of directors of a health care organization in order to reduce readmissions. Within the context of Medicare reimbursements, how will reducing readmissions benefit the health care organization? (2 pages) Write a brief to the board of directors explaining how you, as the chief executive of the hospital, would implement strategies to reduce readmissions within the context of Medicare reimbursement. Be specific and provide examples.Be sure to include support from the literature.References:Dye, C. F., & Garman, A. N. (2015). Exceptional leadership: 16 critical competencies for healthcare executives. (2nd ed.). Chicago, IL: Health Administration Press.
Chapter 14, "Competency 14: Driving Results" (pp. 157–165)Chapter 15, "Competency 15: Stimulating Creativity" (pp. 167–176)Chapter 16, "Competency 16: Cultivating Adaptability" (pp. 177–186)Butcher, L. (2013). Hospitals strengthen bonds with post-acute providers. Retrieved from http://www.hhnmag.com/articles/5987-hospitals-stre...Sacks, L.B. (2016). Succeeding with new payment models. In The Society for Healthcare Strategy and Market Development of the American Hospital Association (Ed.), Futurescan healthcare trends and implications: 2016–2021 (pp. 38–42). Chicago, IL: Health Administration Press.U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (n.d.-b). Provider preventable conditions. Retrieved from https://www.medicaid.gov/medicaid-chip-program-inf...U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (2016a). Community-based care transitions program. Retrieved from https://innovation.cms.gov/initiatives/CCTP/U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (2016e). Readmissions reduction program (HRRP). Retrieved from https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps/readmissions-reduction-program.html
University of California San Diego Applied Statistical Models Using R Markdown
Using R Markdown. All R code should be included, as well as all output produced.
University of California San Diego Applied Statistical Models Using R Markdown
Using R Markdown. All R code should be included, as well as all output produced.
STAT Capella University Normal and Standard Distribution Practice Questions
You are asked to conduct a study of shelters for w ...
STAT Capella University Normal and Standard Distribution Practice Questions
You are asked to conduct a study of shelters for women who have experienced domestic violence in order to determine the necessary capacity in your city to provide housing for most of these women. After recording data for a whole year, you find that the mean number of women in shelters each night is 250, with a standard deviation of 75. Fortunately, the distribution of the number of women in shelters each night is normal, so you can answer the following questions posed by the city council.
Question 1
2 Points
If the city’s shelters have a capacity of 350, will that be enough places for abused women on 95% of all nights?
Yes
No
Question 2
2 Points
What number of shelter openings will be needed?
250
370
75
374
Question 3
2 Points
The current capacity is only 220 openings because some of the shelters have been closed. What is the percentage of nights that the number of abused women seeking shelter will exceed current capacity?
62.21%
65.54%
34.46%
40%
A criminologist developed a test to measure recidivism, where low scores indicated a lower probability of repeating the undesirable behavior. The test is normed so that it has a mean of 140 and a standard deviation of 40.
Question 4
2 Points
What is the percentile rank of a score of 172?
78.81st percentile
80th percentile
40th percentile
28.81th percentile
Question 5
2 Points
What is the z-score for a test score of 200?
-1.50
0.5
1
1.50
Question 6
2 Points
What percentage of scores falls between 100 and 160?
28.81%
53.28%
19.15%
34.13%
Question 7
2 Points
What proportion of respondents should score above 190?
0.5
1
1.50
1.25
Question 8
1.5 Points
Suppose an individual is in the 67th percentile in this test. What is his or her corresponding recidivism score?
155.9
140
157.6
112.9
According to National Collegiate Athletic Association (NCAA) data, the means and standard deviations of eligibility and retention rates (based on a 1,000-point scale) for the 2013–2014 academic year are presented, along with the fictional scores for two basketball teams, A and B. Assume that rates are normally distributed.Normal Distribution Practice data
Question 9
1.5 Points
On which criterion (eligibility or retention) did Team A do better than Team B? Calculate appropriate statistics to answer this question.
Team A has better retention and eligibility than Team B.
Team B has better retention and eligibility than Team A.
Team B has better retention but Team A has better eligibility.
Team A has better retention but Team B has better eligibility.
Question 10
1.5 Points
What proportion of the teams have retention rates below Team B?
43.25
4.325
0.4325
0.04325
Question 11
1.5 Points
What is the percentile rank of Team A’s eligibility rate?
43.25th percentile
36.54th percentile
35.94th percentile
17th percentile
7 pages
Adventure Works Business
The main objective of Nike, among its other objectives, involves to encourage inspiration and innovation to athletes world ...
Adventure Works Business
The main objective of Nike, among its other objectives, involves to encourage inspiration and innovation to athletes worldwide and develop products ...
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Most Popular Content
Statistics in Everyday Life, statistics assignment help
Statistics in Everyday Life*** Original answer with references! must be a minimum of 300 words
...
Statistics in Everyday Life, statistics assignment help
Statistics in Everyday Life*** Original answer with references! must be a minimum of 300 words
Provide an example for using Baye’s Theorem in a workplace setting, as described in the article “Applying Bayes’ Theorem to Clinical Trials.” Does statistics also have uses in everyday life? Provide an example
Regression models and Reducing readmissions BRIEF to the Board of Directors
Part 1 Building Regression Models in Health Care Finding evidence-based relationships among variables is an important ...
Regression models and Reducing readmissions BRIEF to the Board of Directors
Part 1 Building Regression Models in Health Care Finding evidence-based relationships among variables is an important tool for any healthcare administration leader. On a daily basis, healthcare administration leaders may want to see what variables are correlated so that they can implement quality improvement.This week, you think of scenarios where building and interpreting regression models would be useful for healthcare administration leaders. You might consider building off. For example, Jenna, a healthcare administration leader, determined last week that patient satisfaction scores had fallen from the mean of 87. She wants to know why. She believes that it may have something to do with patient waiting time and time spent with the doctor. Thus, her dependent variable (y) is patient satisfaction and the independent variables are waiting time (x1) and time spent with the doctor (x2). She can evaluate the relationship between these two variables using correlation; bivariate scatterplots for y vs. x1 and y vs. x2; and regression techniques. For this Discussion, think about a healthcare scenario where multiple regression might be useful in your organization or one with which you are familiar. Consider what your dependent and independent variables might be for conducting a multiple regression analysis. Build a small example, and run the regression analysis.PART 2 REGRESSION MODELING Regression modeling is a foundational skill for those conducting secondary data analysis, much like you will encounter in the completion of the Doctor of Healthcare Administration (DHA) program. Additionally, regression modeling assists in finding connections among multiple variables and one dependent variable. Consider, for example, a healthcare administrator who may be asked to develop or interpret models of patient satisfaction based on other quantitative or dichotomous variables. For this Assignment, review the resources for this week. Complete Case Study. The case study is based on a real-world problem. (3–5 pages) Complete Case Study 11.1, "Artsy Corporation," using SPSS. Submit your answers and embedded analysis (SPSS and other analysis) as a Microsoft Word management report References: Albright, S. C., & Winston, W. L. (2015). Business analytics: Data analysis and decision making (5th ed.). Stamford, CT: Cengage Learning. Chapter 10, "Regression Analysis: Estimating Relationships" (pp. 463–531) Chapter 11, "Regression Analysis: Statistical Inference" (pp. 532–589) Fulton, L., Lasdon, L. S., & McDaniel, R. R. (2007). Cost drivers and resource allocation in military health care systems. Military Medicine, 172(3), 244–249. Note: Retrieved from the Walden Library databases. PART 3: Reducing Readmissions: Brief to the Board of Directors In an effort to reduce the high costs of health care, health care executives, physicians, and clinical staff establish guidelines to minimize the rates of readmissions for patients. While certain medical conditions may require that patients are readmitted into health care organizations, for less urgent or extensive medical conditions, ensuring that health care service is administered effectively the first time will go a long way in minimizing readmission. From a financial standpoint, patient readmissions constrict health care services, resources, and staff that would otherwise be used to treat new patient cases. From effective health care delivery, a patient who is readmitted may be an indication of poor quality health care delivery, ineffective process workflows, or inefficient patient care. Review the resources.Reflect on how health care executives might address the board of directors of a health care organization in order to reduce readmissions. Within the context of Medicare reimbursements, how will reducing readmissions benefit the health care organization? (2 pages) Write a brief to the board of directors explaining how you, as the chief executive of the hospital, would implement strategies to reduce readmissions within the context of Medicare reimbursement. Be specific and provide examples.Be sure to include support from the literature.References:Dye, C. F., & Garman, A. N. (2015). Exceptional leadership: 16 critical competencies for healthcare executives. (2nd ed.). Chicago, IL: Health Administration Press.
Chapter 14, "Competency 14: Driving Results" (pp. 157–165)Chapter 15, "Competency 15: Stimulating Creativity" (pp. 167–176)Chapter 16, "Competency 16: Cultivating Adaptability" (pp. 177–186)Butcher, L. (2013). Hospitals strengthen bonds with post-acute providers. Retrieved from http://www.hhnmag.com/articles/5987-hospitals-stre...Sacks, L.B. (2016). Succeeding with new payment models. In The Society for Healthcare Strategy and Market Development of the American Hospital Association (Ed.), Futurescan healthcare trends and implications: 2016–2021 (pp. 38–42). Chicago, IL: Health Administration Press.U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (n.d.-b). Provider preventable conditions. Retrieved from https://www.medicaid.gov/medicaid-chip-program-inf...U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (2016a). Community-based care transitions program. Retrieved from https://innovation.cms.gov/initiatives/CCTP/U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (2016e). Readmissions reduction program (HRRP). Retrieved from https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps/readmissions-reduction-program.html
University of California San Diego Applied Statistical Models Using R Markdown
Using R Markdown. All R code should be included, as well as all output produced.
University of California San Diego Applied Statistical Models Using R Markdown
Using R Markdown. All R code should be included, as well as all output produced.
STAT Capella University Normal and Standard Distribution Practice Questions
You are asked to conduct a study of shelters for w ...
STAT Capella University Normal and Standard Distribution Practice Questions
You are asked to conduct a study of shelters for women who have experienced domestic violence in order to determine the necessary capacity in your city to provide housing for most of these women. After recording data for a whole year, you find that the mean number of women in shelters each night is 250, with a standard deviation of 75. Fortunately, the distribution of the number of women in shelters each night is normal, so you can answer the following questions posed by the city council.
Question 1
2 Points
If the city’s shelters have a capacity of 350, will that be enough places for abused women on 95% of all nights?
Yes
No
Question 2
2 Points
What number of shelter openings will be needed?
250
370
75
374
Question 3
2 Points
The current capacity is only 220 openings because some of the shelters have been closed. What is the percentage of nights that the number of abused women seeking shelter will exceed current capacity?
62.21%
65.54%
34.46%
40%
A criminologist developed a test to measure recidivism, where low scores indicated a lower probability of repeating the undesirable behavior. The test is normed so that it has a mean of 140 and a standard deviation of 40.
Question 4
2 Points
What is the percentile rank of a score of 172?
78.81st percentile
80th percentile
40th percentile
28.81th percentile
Question 5
2 Points
What is the z-score for a test score of 200?
-1.50
0.5
1
1.50
Question 6
2 Points
What percentage of scores falls between 100 and 160?
28.81%
53.28%
19.15%
34.13%
Question 7
2 Points
What proportion of respondents should score above 190?
0.5
1
1.50
1.25
Question 8
1.5 Points
Suppose an individual is in the 67th percentile in this test. What is his or her corresponding recidivism score?
155.9
140
157.6
112.9
According to National Collegiate Athletic Association (NCAA) data, the means and standard deviations of eligibility and retention rates (based on a 1,000-point scale) for the 2013–2014 academic year are presented, along with the fictional scores for two basketball teams, A and B. Assume that rates are normally distributed.Normal Distribution Practice data
Question 9
1.5 Points
On which criterion (eligibility or retention) did Team A do better than Team B? Calculate appropriate statistics to answer this question.
Team A has better retention and eligibility than Team B.
Team B has better retention and eligibility than Team A.
Team B has better retention but Team A has better eligibility.
Team A has better retention but Team B has better eligibility.
Question 10
1.5 Points
What proportion of the teams have retention rates below Team B?
43.25
4.325
0.4325
0.04325
Question 11
1.5 Points
What is the percentile rank of Team A’s eligibility rate?
43.25th percentile
36.54th percentile
35.94th percentile
17th percentile
7 pages
Adventure Works Business
The main objective of Nike, among its other objectives, involves to encourage inspiration and innovation to athletes world ...
Adventure Works Business
The main objective of Nike, among its other objectives, involves to encourage inspiration and innovation to athletes worldwide and develop products ...
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