Description
A
figure has a vertex at (-1, -3). If the figure has line symmetry about
the x-axis, what are the coordinates of another vertex of the figure? | |||||||||
|
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Explanation & Answer
(-1 ,-3) it is in third coordinate .
its image will form in second coordinate
so point should be (-1,3)
so answer will be a (-1, 3)
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Bsic Algebra
1. Which one of the following is not a prime number?2. It is being given that (232 + 1) is completely divisible by a whole ...
Bsic Algebra
1. Which one of the following is not a prime number?2. It is being given that (232 + 1) is completely divisible by a whole number. Which of the following numbers is completely divisible by this number?
HMGT 400 University of Maryland Hospital Beds per Population Research Paper
University of Maryland University College HMGT 400 Research and Data Analysis in Health- FINAL EXAM Dataset: HMGTF ...
HMGT 400 University of Maryland Hospital Beds per Population Research Paper
University of Maryland University College HMGT 400 Research and Data Analysis in Health- FINAL EXAM Dataset: HMGTFINALEXAM.csv (To be provided when you complete Assignment #3) Required program: EXCEL Author, Hossein Zare, PhD Citation: Zare, H. (2019). HMGT 400 Research and Data Analysis in Health Care. FINAL EXAM. UMUC.EDU Question #1 (15 credits): The FINAL EXAM dataset provides some information about hospitals in 2011 and 2012. Analyze the FINAL EXAM dataset. You may calculate the “Hospital Beds per Population (Per Capita)” variable by dividing “total_hospital_beds by tot_population. Use the analysis results to complete Table 1 below. Table 1. Descriptive statistics about hospitals in 2011 & 2012 2011 2012 t Value (Pr<|t|) N Mean St. Dev N Mean St. Dev Hospital Characteristics 1. Hospital beds 2. Number of paid Employee 3. Number of non-paid Employee 4. Internes and Residents 5. System Membership 6. Total hospital cost 7. Total hospital revenues 8. Hospital net benefit 9. Available Medicare days 10. Available Medicaid days 11. Total Hospital Discharge 12. Medicare discharge 13. Medicaid discharge Socio-Economic Variables 14. Hospital Beds per Population (Per Capita) 15. Percent of population in poverty 16. Percent of Female population in poverty 17.Percent of Male population in poverty 18. Median Household Income Then please answer the following questions. What are the significant differences for each of the hospital characteristics between 2011 and 2012?What are the significant differences for each of the socio-economic variables between 2011 and 2012?Based on your findings did hospitals (in general) have a better performance in 2011 or 2012? Explain.How does hospital performance relate to the hospital characteristics and how does it relate to the socio-economic characteristics? Question #2 (15 credits): In the dataset, create a new variable called hospital net benefits. Do this by subtracting hospital costs from hospital revenues. Analyze the dataset and then complete Table 2. In the last column report the T-test results, to compare hospital characteristics and the nationwide socioeconomic variables for for-profit and non-profit hospitals. Table 2. Descriptive statistics between teaching and non-teaching hospitals, 2011 & 2012 For Profit Non-For-Profit p-value N Mean St. Dev N Mean St. Dev Hospital Characteristics 1. Hospital beds 2. Number of paid Employee 3. Number of non-paid Employee 4. Internes and Residents 5. System Membership 6. Total hospital cost 7. Total hospital revenues 8. Hospital net benefit 9. Available Medicare days 10. Available Medicaid days 11. Total Hospital Discharge 12. Medicare discharge 13. Medicaid discharge Socio-Economic Variables 14. Hospital Beds per Population (Per Capita) 15. Percent of population in poverty 16. Percent of Female population in poverty 17. Percent of Male population in poverty 18. Median Household Income Then answer the following questions: What are the main significant differences between for-profit and non-profit hospitals? Which test is the best fit test? Why?Use a box-plot and compare Hospital net benefit between for-profit and non-profit hospitals.Create a scatter plot with the correct variable and axes labels and legend. Use the plot to compare hospital cost (x-axes) and revenue (y-axes) and discuss your findings?If we assume that hospital net-benefit is a good measure of hospital performance, which type of hospitals had the better performance (for-profit or non-profit hospitals)?Overall, what are the main statistically significant differences between for-profit and non-for-profit hospitals? Question #3 (15 credits): The dataset provides the variable herf_ins called the Herfindahl–Hirschman Index which measures market concentration for the health insurance market. Please note that unlike the class exercise in which you used herf_cat, which measured market concentration for the hospital market, in this assignment you are using herf_ins which measures market concentration for the health insurance market. Analyze the data to complete Table 3 (below): Table 3. Comparing hospital characteristics and market, 2011 and 2012 High Competitive Market Moderate Competitive Market Low Competitive Market ANOVA/Chi-Sq (results) N Mean STD N Mean STD N Mean STD Hospital Characteristics 1. Hospital beds 2. Number of paid Employee 3. Number of non-paid Employee 4. Internes and Residents 5. System Membership 6. Total hospital cost 7. Total hospital revenues 8. Hospital net benefit 9. Available Medicare days 10. Available Medicaid days 11. Total Hospital Discharge 12. Medicare discharge-ratio 13. Medicaid discharge-ratio Socio-Economic Variables 14. Hospital Beds per Population (Per Capita) 15. Median Household Income Then answer the following questions: In a short paragraph describe and explain what the Herfindahl index is. You can use the reference provided in the class exercise or any other citation.Compare the following information between hospitals located in high, moderate and low competitive health insurance markets? What are the main significant differences between hospitals in different insurance markets? (use the ANOVA test)What is the impact of being in a high-competitive health insurance market on hospital revenues and costs? Does being in a high-competitive market have a positive impact on net hospital benefits?What about the number of Medicare and Medicaid discharges? Are hospitals in high competitive insurance markets more likely to accept Medicare and Medicaid patients? What is the impact of other variables? (Note: to answer the last question, please compute Medicare-discharge ratios and Medicaid-discharge ratios first and then run two t-Tests (high competitive vs. moderate competitive, and high vs. low competitive market). Please support your findings with a box-plot). Question #4 (Credits 20)- Excel version If you have chosen to work with Excel, please run the models and complete the following tables. Regression Model 1: Analyze the data by running a linear regression model as depicted in Table 4 below. Table 4 – Regression Model 1 Coefficient ST. ERR T Stat P-values Lower 95% Upper 95% Intercept/Constant Total Hospital beds Teaching Hospital Dummy N = R Square = Describe and discuss your findings. Do the number of hospital beds or whether a hospital is a teaching hospital or not have a positive or negative impact on hospital net-benefit. (hospital performance)? In answering this question, consider statistical significance. Regression Model 2: Analyze the data by running a linear regression model as depicted in Table 5 below. Table 5 – Regression Model 2 Coefficient ST. ERR T Stat P-values Lower 95% Upper 95% Intercept/Constant Total Hospital beds Teaching Hospital Dummy N = R Square = Describe and discuss your findings. Do the number of hospital beds or whether a hospital is a non-teaching hospital or not have a positive or negative impact on hospital net-benefit. (hospital performance)? In answering this question, consider statistical significance.Use the results from your Regression model 1 and regression model 2 to comment on any differences or similarities in impact of teaching hospital status or non-teaching hospital status impacts on hospital net-benefit. (hospital performance)? Regression Model 3: Analyze the data by running a linear regression model as depicted in Table 5 below. Table 6 – Regression Model 3 Coefficient ST. ERR T Stat P-values Lower 95% Upper 95% Intercept/Constant Total Hospital beds Teaching Hosp. Dummy Medicare discharge ratio Medicaid discharge ratio N = R Square = Describe and discuss your findings. Do the number of Medicare or Medicaid patients in a teaching hospital have a positive or negative impact on hospital net-benefit. (hospital performance)? In answering this question, consider statistical significance. Regression Model 4: Analyze the data by running a linear regression model as depicted in Table 7 below. Table 7 – Regression Model 4 Coefficient ST. ERR T Stat P-values Lower 95% Upper 95% Intercept/Constant Total Hospital beds Non-Teaching Hosp. Dummy Medicare discharge ratio Medicaid discharge ratio N = R Square = Describe and discuss your findings. Do the number of Medicare or Medicaid patients in a non-teaching hospital have a positive or negative impact on hospital net-benefit. (hospital performance)? In answering this question, consider statistical significance.Based on your findings please recommend three policies to improve hospital performance. Please make sure to use the final model for your recommendation Question #5 (Credits 20)- Excel version If you have chosen to work with Excel, please run three models and complete the following tables. Logistic Regression Models If you have chosen to work with RStudio, please run the following model and complete the following tables. Logistic Model 1: Analyze the data by running a logistic regression model as depicted in Table 8 below. Use “being a member of a hospital network” (system_member) as the dependent variable. Table 8 – Logistic Model 1 Coefficient ST. ERR P-Value Exp (coeff) Exp (z SE) Exp (Std. Coeff.) Intercept/Constant Total Hospital costs N = R Square = Describe and discuss your findings. Logistic Model 2: Analyze the data by running a logistic regression model as depicted in Table 9 below. Table 9 – Logistic Model 2 Coefficient ST. ERR P-Value Exp (coeff) Exp (z SE) Exp (Std. Coeff.) Intercept/Constant Total Hospital Costs Total Hospital Revenue N = R Square = Describe and discuss your findings. Logistic Model 3: Analyze the data by running a logistic regression model as depicted in Table 10 below. Table 10 – Logistic Regression Model 3 Coefficient ST. ERR P-Value Exp (coeff) Exp (z SE) Exp (Std. Coeff.) Intercept/Constant Total Hospital Costs Total Hospital Revenue Medicare discharge ratio Medicaid discharge ratio N = R Square = Describe and discuss your findings. What is the impact of having more Medicare or more Medicaid patients in the hospitals, on membership in hospital systems? Based on your findings from Logistic Regression Model 3, please recommend three policies to justify whether hospitals will organize themselves into hospital systems or not. Question 6 (15 credits) 1. Please offer a research question for the study using human subject research. 2. Explain the difference between the research process involving human subjects and the research process not involving human subjects. 3. Discuss ethical implications surrounding human subject research studies. 4. Explain the governance of the human subject research studies over the data and the process. 5. Provide examples of the consequences for not meeting IRB (Institutional Review Board) protocol requirements.
MTHH 071 057 UNHS Algebraic Expression in Calculus Problems
Hey there, I'm once again very short on time, but need this project done well. I need it to be hand written with detailed ...
MTHH 071 057 UNHS Algebraic Expression in Calculus Problems
Hey there, I'm once again very short on time, but need this project done well. I need it to be hand written with detailed explanations (showing work) for each question/answer. Thanks in advance!
MHA-FP5017 ASSESSMENT-2 Hypothesis Testing for Differences Between Groups
Assessment 2 – Hypothesis Testing for Differences Between Groups Overview Perform hypothesis testing on the differe ...
MHA-FP5017 ASSESSMENT-2 Hypothesis Testing for Differences Between Groups
Assessment 2 – Hypothesis Testing for Differences Between Groups Overview Perform hypothesis testing on the differences between two groups and create an Excel document. Write a 2–3-page analysis of the results in a Word document and insert the results into this document. Note: You are strongly encouraged to complete the assessments in this course in the order they are presented. Hypothesis testing is a foundational statistical technique used to make decisions about a hypothesis. A hypothesis test compares two mutually exclusive statements (null hypothesis, alternative hypothesis) where only one is true. Hypothesis testing can determine statistical significance by examining the probability that a given result would occur under the null hypothesis. For this assessment, you will perform hypothesis testing on the differences between two groups. By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria: Competency 1: Plan for data collection, measurement, and analysis.Generate a hypothesis about the difference between two groups in a dataset.Identify the appropriate statistical test in a dataset.Competency 2: Analyze data using computer-based programming and software.Performs appropriate statistical test of the difference between two groups in a dataset.Competency 3: Interpret results of data analysis for value-based health care decisions, policy, or practice.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test.Competency 5: Communicate audience-appropriate health management content in a logically structured and concise manner, writing clearly with correct use of grammar, punctuation, spelling, and APA style.Write clearly and concisely, using correct grammar, mechanics, and APA formatting. Resources Statistical Significance Frey, B. B. (Ed.). (2018). Significance. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Gallo, A. (2016, February 16). A refresher on statistical significance. Harvard Business Review Digital Articles, 2–9.Simpson, S. H. (2015). Creating a data analysis plan: What to consider when choosing statistics for a study. Canadian Journal of Hospital Pharmacy, 68(4), 311–317. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45522... Hypothesis Testing Frey, B. B. (Ed.). (2018). Hypothesis testing. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Hypothesis Tester.Real Statistics Using Excel. (n.d.). Null and alternative hypothesis. Retrieved from http://www.real-statistics.com/hypothesis-testing/...Elliott. E. C. (n.d.). Understanding statistical hypothesis testing. Retrieved from https://www.stattutorials.com/understanding-hypoth...Gonzalez-Chica, D. A., Bastos, J. L., Duquia, R. P., Bonamigo, R. R., & Martínez-Mesa, J. (2015). Test of association: Which one is the most appropriate for my study? Anais brasileiros de dermatología, 90(4), 523–528. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45605...Quantitative Skills Center: Interpreting Statistical Data. p Value Frey, B. B. (Ed.). (2018). p value. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Elliott, E. C. (n.d.). Interpreting statistical p-values. Retrieved from https://www.stattutorials.com/p-value-interpreting... Interpreting Results Evaluation of Analytic Results.Interpreting Results of Inferential Techniques.Matching Statistical Tests to Hypotheses. Significance Tests Orr-Depner, R. (n.d.). Learning about 2-sample t-tests with Guitar Hero | Transcript. Retrieved from https://www.sophia.org/tutorials/learning-about-2-...Scheer, A. (n.d.). The basics of significance tests | Transcript. Retrieved from https://www.sophia.org/tutorials/sec-91-the-basics...StatisticsLectures.com. (n.d.). Statistical vs practical significance. Retrieved from http://www.statisticslectures.com/topics/statistic...Tutorials for Statistical Data Analysis. (n.d.). Two sample (independent group) t-test using Mcrosoft Excel. Retrieved from https://www.stattutorials.com/EXCEL/EXCEL_TTEST1.h... Textbook Kros, J. F., & Rosenthal, D. A. (2016). Statistics for health care management and administration: Working with Excel (3rd. ed.). San Francisco, CA: Jossey-Bass. Available in the courseroom via the VitalSource Bookshelf link. Preparation Download the Assessment 2 Dataset [XLSX]. The dataset contains the following variables: clinic1 (total number of visits per month for clinic 1) .clinic2 (total number of visits per month for clinic 2). Instructions An investor needs to make a decision on whether to acquire one of two medical clinics based on their productivity, as measured by the total number of visits per month. You have been asked whether there is a significance difference in the total number of visits per month between clinic 1 and clinic 2. For this assessment, perform hypothesis testing on the differences between two groups in the Assessment 2 Dataset. Create an appropriately labeled Excel document with your results. Also write an analysis of the results in a Word document. Insert the test results into this document (copied from the output file and pasted into a Word document). Refer to Copy From Excel to Another Office Program for instructions. Submit both the Word document and the Excel file that shows the results. Grading Criteria The numbered assessment instructions outlined below correspond to the grading criteria in the Hypothesis Testing for Differences Between Groups Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed. Generate a hypothesis about the difference between two groups in a dataset.State null hypothesis and alternative hypothesis as an explanation and math equation.Identify the appropriate statistical test in a dataset.Provide your statistical rationale.Perform appropriate statistical test of the difference between two groups in a dataset.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Interpret p-value and statistical significance.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test. Additional Requirements Your assessment should meet the following requirements: Written communication: Write clearly, accurately, and professionally, incorporating sources appropriately.Length: 2–3 pagesResources: Not required.APA format: Cite your sources using current APA format.Font and font size: Times Roman, 10 point.
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ITEC 8437 Walden University One Sample Chi Square Test Paper
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Student provides a thorough and detailed presentation of properly formatted one-sample Chi-Square question, null hypothesis, and alternative hypothesis, based on the IT Security Dataset.Student provides a thorough and detailed duplication of the exemplar’s results section for the one-sample Chi-Square question and hypothesis stated for Element 1.
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Bsic Algebra
1. Which one of the following is not a prime number?2. It is being given that (232 + 1) is completely divisible by a whole ...
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1. Which one of the following is not a prime number?2. It is being given that (232 + 1) is completely divisible by a whole number. Which of the following numbers is completely divisible by this number?
HMGT 400 University of Maryland Hospital Beds per Population Research Paper
University of Maryland University College HMGT 400 Research and Data Analysis in Health- FINAL EXAM Dataset: HMGTF ...
HMGT 400 University of Maryland Hospital Beds per Population Research Paper
University of Maryland University College HMGT 400 Research and Data Analysis in Health- FINAL EXAM Dataset: HMGTFINALEXAM.csv (To be provided when you complete Assignment #3) Required program: EXCEL Author, Hossein Zare, PhD Citation: Zare, H. (2019). HMGT 400 Research and Data Analysis in Health Care. FINAL EXAM. UMUC.EDU Question #1 (15 credits): The FINAL EXAM dataset provides some information about hospitals in 2011 and 2012. Analyze the FINAL EXAM dataset. You may calculate the “Hospital Beds per Population (Per Capita)” variable by dividing “total_hospital_beds by tot_population. Use the analysis results to complete Table 1 below. Table 1. Descriptive statistics about hospitals in 2011 & 2012 2011 2012 t Value (Pr<|t|) N Mean St. Dev N Mean St. Dev Hospital Characteristics 1. Hospital beds 2. Number of paid Employee 3. Number of non-paid Employee 4. Internes and Residents 5. System Membership 6. Total hospital cost 7. Total hospital revenues 8. Hospital net benefit 9. Available Medicare days 10. Available Medicaid days 11. Total Hospital Discharge 12. Medicare discharge 13. Medicaid discharge Socio-Economic Variables 14. Hospital Beds per Population (Per Capita) 15. Percent of population in poverty 16. Percent of Female population in poverty 17.Percent of Male population in poverty 18. Median Household Income Then please answer the following questions. What are the significant differences for each of the hospital characteristics between 2011 and 2012?What are the significant differences for each of the socio-economic variables between 2011 and 2012?Based on your findings did hospitals (in general) have a better performance in 2011 or 2012? Explain.How does hospital performance relate to the hospital characteristics and how does it relate to the socio-economic characteristics? Question #2 (15 credits): In the dataset, create a new variable called hospital net benefits. Do this by subtracting hospital costs from hospital revenues. Analyze the dataset and then complete Table 2. In the last column report the T-test results, to compare hospital characteristics and the nationwide socioeconomic variables for for-profit and non-profit hospitals. Table 2. Descriptive statistics between teaching and non-teaching hospitals, 2011 & 2012 For Profit Non-For-Profit p-value N Mean St. Dev N Mean St. Dev Hospital Characteristics 1. Hospital beds 2. Number of paid Employee 3. Number of non-paid Employee 4. Internes and Residents 5. System Membership 6. Total hospital cost 7. Total hospital revenues 8. Hospital net benefit 9. Available Medicare days 10. Available Medicaid days 11. Total Hospital Discharge 12. Medicare discharge 13. Medicaid discharge Socio-Economic Variables 14. Hospital Beds per Population (Per Capita) 15. Percent of population in poverty 16. Percent of Female population in poverty 17. Percent of Male population in poverty 18. Median Household Income Then answer the following questions: What are the main significant differences between for-profit and non-profit hospitals? Which test is the best fit test? Why?Use a box-plot and compare Hospital net benefit between for-profit and non-profit hospitals.Create a scatter plot with the correct variable and axes labels and legend. Use the plot to compare hospital cost (x-axes) and revenue (y-axes) and discuss your findings?If we assume that hospital net-benefit is a good measure of hospital performance, which type of hospitals had the better performance (for-profit or non-profit hospitals)?Overall, what are the main statistically significant differences between for-profit and non-for-profit hospitals? Question #3 (15 credits): The dataset provides the variable herf_ins called the Herfindahl–Hirschman Index which measures market concentration for the health insurance market. Please note that unlike the class exercise in which you used herf_cat, which measured market concentration for the hospital market, in this assignment you are using herf_ins which measures market concentration for the health insurance market. Analyze the data to complete Table 3 (below): Table 3. Comparing hospital characteristics and market, 2011 and 2012 High Competitive Market Moderate Competitive Market Low Competitive Market ANOVA/Chi-Sq (results) N Mean STD N Mean STD N Mean STD Hospital Characteristics 1. Hospital beds 2. Number of paid Employee 3. Number of non-paid Employee 4. Internes and Residents 5. System Membership 6. Total hospital cost 7. Total hospital revenues 8. Hospital net benefit 9. Available Medicare days 10. Available Medicaid days 11. Total Hospital Discharge 12. Medicare discharge-ratio 13. Medicaid discharge-ratio Socio-Economic Variables 14. Hospital Beds per Population (Per Capita) 15. Median Household Income Then answer the following questions: In a short paragraph describe and explain what the Herfindahl index is. You can use the reference provided in the class exercise or any other citation.Compare the following information between hospitals located in high, moderate and low competitive health insurance markets? What are the main significant differences between hospitals in different insurance markets? (use the ANOVA test)What is the impact of being in a high-competitive health insurance market on hospital revenues and costs? Does being in a high-competitive market have a positive impact on net hospital benefits?What about the number of Medicare and Medicaid discharges? Are hospitals in high competitive insurance markets more likely to accept Medicare and Medicaid patients? What is the impact of other variables? (Note: to answer the last question, please compute Medicare-discharge ratios and Medicaid-discharge ratios first and then run two t-Tests (high competitive vs. moderate competitive, and high vs. low competitive market). Please support your findings with a box-plot). Question #4 (Credits 20)- Excel version If you have chosen to work with Excel, please run the models and complete the following tables. Regression Model 1: Analyze the data by running a linear regression model as depicted in Table 4 below. Table 4 – Regression Model 1 Coefficient ST. ERR T Stat P-values Lower 95% Upper 95% Intercept/Constant Total Hospital beds Teaching Hospital Dummy N = R Square = Describe and discuss your findings. Do the number of hospital beds or whether a hospital is a teaching hospital or not have a positive or negative impact on hospital net-benefit. (hospital performance)? In answering this question, consider statistical significance. Regression Model 2: Analyze the data by running a linear regression model as depicted in Table 5 below. Table 5 – Regression Model 2 Coefficient ST. ERR T Stat P-values Lower 95% Upper 95% Intercept/Constant Total Hospital beds Teaching Hospital Dummy N = R Square = Describe and discuss your findings. Do the number of hospital beds or whether a hospital is a non-teaching hospital or not have a positive or negative impact on hospital net-benefit. (hospital performance)? In answering this question, consider statistical significance.Use the results from your Regression model 1 and regression model 2 to comment on any differences or similarities in impact of teaching hospital status or non-teaching hospital status impacts on hospital net-benefit. (hospital performance)? Regression Model 3: Analyze the data by running a linear regression model as depicted in Table 5 below. Table 6 – Regression Model 3 Coefficient ST. ERR T Stat P-values Lower 95% Upper 95% Intercept/Constant Total Hospital beds Teaching Hosp. Dummy Medicare discharge ratio Medicaid discharge ratio N = R Square = Describe and discuss your findings. Do the number of Medicare or Medicaid patients in a teaching hospital have a positive or negative impact on hospital net-benefit. (hospital performance)? In answering this question, consider statistical significance. Regression Model 4: Analyze the data by running a linear regression model as depicted in Table 7 below. Table 7 – Regression Model 4 Coefficient ST. ERR T Stat P-values Lower 95% Upper 95% Intercept/Constant Total Hospital beds Non-Teaching Hosp. Dummy Medicare discharge ratio Medicaid discharge ratio N = R Square = Describe and discuss your findings. Do the number of Medicare or Medicaid patients in a non-teaching hospital have a positive or negative impact on hospital net-benefit. (hospital performance)? In answering this question, consider statistical significance.Based on your findings please recommend three policies to improve hospital performance. Please make sure to use the final model for your recommendation Question #5 (Credits 20)- Excel version If you have chosen to work with Excel, please run three models and complete the following tables. Logistic Regression Models If you have chosen to work with RStudio, please run the following model and complete the following tables. Logistic Model 1: Analyze the data by running a logistic regression model as depicted in Table 8 below. Use “being a member of a hospital network” (system_member) as the dependent variable. Table 8 – Logistic Model 1 Coefficient ST. ERR P-Value Exp (coeff) Exp (z SE) Exp (Std. Coeff.) Intercept/Constant Total Hospital costs N = R Square = Describe and discuss your findings. Logistic Model 2: Analyze the data by running a logistic regression model as depicted in Table 9 below. Table 9 – Logistic Model 2 Coefficient ST. ERR P-Value Exp (coeff) Exp (z SE) Exp (Std. Coeff.) Intercept/Constant Total Hospital Costs Total Hospital Revenue N = R Square = Describe and discuss your findings. Logistic Model 3: Analyze the data by running a logistic regression model as depicted in Table 10 below. Table 10 – Logistic Regression Model 3 Coefficient ST. ERR P-Value Exp (coeff) Exp (z SE) Exp (Std. Coeff.) Intercept/Constant Total Hospital Costs Total Hospital Revenue Medicare discharge ratio Medicaid discharge ratio N = R Square = Describe and discuss your findings. What is the impact of having more Medicare or more Medicaid patients in the hospitals, on membership in hospital systems? Based on your findings from Logistic Regression Model 3, please recommend three policies to justify whether hospitals will organize themselves into hospital systems or not. Question 6 (15 credits) 1. Please offer a research question for the study using human subject research. 2. Explain the difference between the research process involving human subjects and the research process not involving human subjects. 3. Discuss ethical implications surrounding human subject research studies. 4. Explain the governance of the human subject research studies over the data and the process. 5. Provide examples of the consequences for not meeting IRB (Institutional Review Board) protocol requirements.
MTHH 071 057 UNHS Algebraic Expression in Calculus Problems
Hey there, I'm once again very short on time, but need this project done well. I need it to be hand written with detailed ...
MTHH 071 057 UNHS Algebraic Expression in Calculus Problems
Hey there, I'm once again very short on time, but need this project done well. I need it to be hand written with detailed explanations (showing work) for each question/answer. Thanks in advance!
MHA-FP5017 ASSESSMENT-2 Hypothesis Testing for Differences Between Groups
Assessment 2 – Hypothesis Testing for Differences Between Groups Overview Perform hypothesis testing on the differe ...
MHA-FP5017 ASSESSMENT-2 Hypothesis Testing for Differences Between Groups
Assessment 2 – Hypothesis Testing for Differences Between Groups Overview Perform hypothesis testing on the differences between two groups and create an Excel document. Write a 2–3-page analysis of the results in a Word document and insert the results into this document. Note: You are strongly encouraged to complete the assessments in this course in the order they are presented. Hypothesis testing is a foundational statistical technique used to make decisions about a hypothesis. A hypothesis test compares two mutually exclusive statements (null hypothesis, alternative hypothesis) where only one is true. Hypothesis testing can determine statistical significance by examining the probability that a given result would occur under the null hypothesis. For this assessment, you will perform hypothesis testing on the differences between two groups. By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria: Competency 1: Plan for data collection, measurement, and analysis.Generate a hypothesis about the difference between two groups in a dataset.Identify the appropriate statistical test in a dataset.Competency 2: Analyze data using computer-based programming and software.Performs appropriate statistical test of the difference between two groups in a dataset.Competency 3: Interpret results of data analysis for value-based health care decisions, policy, or practice.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test.Competency 5: Communicate audience-appropriate health management content in a logically structured and concise manner, writing clearly with correct use of grammar, punctuation, spelling, and APA style.Write clearly and concisely, using correct grammar, mechanics, and APA formatting. Resources Statistical Significance Frey, B. B. (Ed.). (2018). Significance. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Gallo, A. (2016, February 16). A refresher on statistical significance. Harvard Business Review Digital Articles, 2–9.Simpson, S. H. (2015). Creating a data analysis plan: What to consider when choosing statistics for a study. Canadian Journal of Hospital Pharmacy, 68(4), 311–317. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45522... Hypothesis Testing Frey, B. B. (Ed.). (2018). Hypothesis testing. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Hypothesis Tester.Real Statistics Using Excel. (n.d.). Null and alternative hypothesis. Retrieved from http://www.real-statistics.com/hypothesis-testing/...Elliott. E. C. (n.d.). Understanding statistical hypothesis testing. Retrieved from https://www.stattutorials.com/understanding-hypoth...Gonzalez-Chica, D. A., Bastos, J. L., Duquia, R. P., Bonamigo, R. R., & Martínez-Mesa, J. (2015). Test of association: Which one is the most appropriate for my study? Anais brasileiros de dermatología, 90(4), 523–528. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45605...Quantitative Skills Center: Interpreting Statistical Data. p Value Frey, B. B. (Ed.). (2018). p value. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Elliott, E. C. (n.d.). Interpreting statistical p-values. Retrieved from https://www.stattutorials.com/p-value-interpreting... Interpreting Results Evaluation of Analytic Results.Interpreting Results of Inferential Techniques.Matching Statistical Tests to Hypotheses. Significance Tests Orr-Depner, R. (n.d.). Learning about 2-sample t-tests with Guitar Hero | Transcript. Retrieved from https://www.sophia.org/tutorials/learning-about-2-...Scheer, A. (n.d.). The basics of significance tests | Transcript. Retrieved from https://www.sophia.org/tutorials/sec-91-the-basics...StatisticsLectures.com. (n.d.). Statistical vs practical significance. Retrieved from http://www.statisticslectures.com/topics/statistic...Tutorials for Statistical Data Analysis. (n.d.). Two sample (independent group) t-test using Mcrosoft Excel. Retrieved from https://www.stattutorials.com/EXCEL/EXCEL_TTEST1.h... Textbook Kros, J. F., & Rosenthal, D. A. (2016). Statistics for health care management and administration: Working with Excel (3rd. ed.). San Francisco, CA: Jossey-Bass. Available in the courseroom via the VitalSource Bookshelf link. Preparation Download the Assessment 2 Dataset [XLSX]. The dataset contains the following variables: clinic1 (total number of visits per month for clinic 1) .clinic2 (total number of visits per month for clinic 2). Instructions An investor needs to make a decision on whether to acquire one of two medical clinics based on their productivity, as measured by the total number of visits per month. You have been asked whether there is a significance difference in the total number of visits per month between clinic 1 and clinic 2. For this assessment, perform hypothesis testing on the differences between two groups in the Assessment 2 Dataset. Create an appropriately labeled Excel document with your results. Also write an analysis of the results in a Word document. Insert the test results into this document (copied from the output file and pasted into a Word document). Refer to Copy From Excel to Another Office Program for instructions. Submit both the Word document and the Excel file that shows the results. Grading Criteria The numbered assessment instructions outlined below correspond to the grading criteria in the Hypothesis Testing for Differences Between Groups Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed. Generate a hypothesis about the difference between two groups in a dataset.State null hypothesis and alternative hypothesis as an explanation and math equation.Identify the appropriate statistical test in a dataset.Provide your statistical rationale.Perform appropriate statistical test of the difference between two groups in a dataset.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Interpret p-value and statistical significance.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test. Additional Requirements Your assessment should meet the following requirements: Written communication: Write clearly, accurately, and professionally, incorporating sources appropriately.Length: 2–3 pagesResources: Not required.APA format: Cite your sources using current APA format.Font and font size: Times Roman, 10 point.
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