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Algebra 2
Writing Assignment: Systems of Equations
Each problem is worth 5 Points
Total Points: 50
Solve each system of equations. Show your work.
1. -2x + 3y = 8
3x – y = -5
2. 4x - y = 8
-8x + 2y = -5
3. 5x + y = 13
3x = 15 – 3y
4. 2x + 4y = 36
10y = 5
5. 2x – 4y = 12
3x – 6y = 21
6. 2x – 9y = 32
4x + y = -12
7. y = 3x + 1
4y = 12x + 4
8. –x + 2y = -4
2x – 3y = 8
9. 2x – 5y = -3
-x + 2y = 3
10. 3x + 4y =8
-2x + 5y = 3
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SDCC Conditions Met for Calculating a Confidence Interval Analysis
Question 1
In June, 2021, Gallup published an online article titled Public Backs Requiring COVID-19 Vaccine to Attend Scho ...
SDCC Conditions Met for Calculating a Confidence Interval Analysis
Question 1
In June, 2021, Gallup published an online article titled Public Backs Requiring COVID-19 Vaccine to Attend School (Links to an external site.) by Jeffrey M. Jones.
According to the article, 61% of U.S. adults who responded to the survey favor requiring College students to be vaccinated in order to attend classes (including classes in fall 2021). A representative random sample of 3,572 adults U.S. adults, aged 18 and older, were surveyed.
Are conditions met for calculating a confidence interval? Support your conclusion mathematically and show your work.
If conditions are met, use your graphing calculator to calculate a 95% confidence interval that estimates the proportion of U.S. adults who favor requiring College students to be vaccinated in order to attend classes. State your results in context.
Question 2
Login and open StatCrunch (directions).
Open your IAT sample data set in StatCrunch (directions)
We will use a 90% confidence interval to estimate the population proportion of participants born-female in our chosen IAT data set.
So, you are tasked with using your IAT sample to calculate a 90% confidence interval that estimates the population proportion of participants born-female in your particular IAT. But, you are missing a piece of information that would allow you to use your graphing calculator to find the confidence interval. What piece of information is missing?
Even though we cannot readily use our graphing calculators, StatCrunch can calculate the confidence interval for us! Use StatCrunch to find the 90% confidence interval for the population proportion of female participants in your particular IAT (directions - opens in a new tab). Highlight and copy everything in your StatCrunch output window and paste it in your response.
Identify the sample proportion (?? )(p^) in the StatCrunch output table. Then determine whether conditions are met for using the confidence interval to estimate the population proportion of female participants in your chosen IAT. Show your work.
If conditions are met, estimate the population proportion of female participants in your particular IAT, and state your conclusion in context. If conditions are not met, explain what a researcher could do so that conditions are met.
Based on your analysis, do you think the population of participants in your chosen IAT are representative of the U.S. population? Explain.
https://www.statcrunch.com/app/index.php?dataid=38...
Argosy University Week 7 Data Summary for The Variance Analysis Worksheet
Part one For this assignment, use data you downloaded in your W1 Project.Suppose you have information that the average str ...
Argosy University Week 7 Data Summary for The Variance Analysis Worksheet
Part one For this assignment, use data you downloaded in your W1 Project.Suppose you have information that the average stress score of students in online universities is 13.15.Using Microsoft Excel, compute a one-sample t-test to find out whether the stress scores reported by your sample are significantly different from those of the population of online students.Move your output into a Microsoft Word document.Write one paragraph to explain how you located and determined the critical value of t, and how you determined whether your obtained t-statistic was significant.Write a 1-paragraph, APA-formatted interpretation of the results modeled on the example given in your lecture.Part 2For this assignment, use data from W1 Project.This week, you will first look to see whether the type of information participants were given, whether consistent or inconsistent with what they viewed in the video, has a bearing on confidence. You will next explore the hypothesis that memory may decay over time.1. Choose and calculate the appropriate t-test to compare the confidence of participants given consistent feedback with those given inconsistent feedback.a. Move your output into a Microsoft Word document and write an interpretation of your test following the data output in one paragraph. Be sure to use APA format and write a formal report modeled on the examples given in your lecture.2. Choose and calculate the appropriate t-test to compare Recall 1 with Recall 3.a. Move your output into a Microsoft Word document and write an interpretation of your tested following the data output in one paragraph. Be sure to use APA format and write a formal report modeled on the examples given in your lecture.Do not take this question if you are not good with excel or statistics!!!!
The table lists the average annual cost of tuition and fees, algebra homework help
The table lists the average annual cost of tuition and fees
at private 4-year colleges for sel ...
The table lists the average annual cost of tuition and fees, algebra homework help
The table lists the average annual cost of tuition and fees
at private 4-year colleges for selected years.
Year Tuition and Fees (in dollars)
1994 11,719
1996 13,994
1998 17,709
2000 16,233
2002 21,116
2004 24,101
2006 32,218
1. Given any two
data points with each consisting of the year and its corresponding tuition and
fees, describe in detail how you would find a linear function that models the
data shown in the table. Be sure to clearly define and interpret all components
involved in your model.
2. Determine a
linear function that models the data, where 0 x= represents 1994, and 1 x=
represents 1995, and so on. Use the points ( ) 0,11719 and( ) 12,32218 . Choose
two more combinations of points and use them to create two additional linear
functions that model the data. Record the three linear functions below.
Function 1:
Function 2:
Function 3:
3. How would you go about using these functions
to predict the average annual cost of tuition and fees for a future year?
Suppose you are in the marketing department for a college and you are trying to
determine which function to use to encourage future students attend your
college. Explore and state the messages that can be sent to prospective
students by each function.
4. Use all three functions to approximate
tuition and fees in 2035. State your results below. Next, choose the function
you would use to encourage prospective students and explain the reasoning
behind your choice.
Function 1:
Function 2:
Function 3:
Function of
choice:
Explanation:
Statistic Questions
1. To determine whether a new sleeping pill has an effect that varies with dosage, a researcher randomly assigns adult ins ...
Statistic Questions
1. To determine whether a new sleeping pill has an effect that varies with dosage, a researcher randomly assigns adult insomniacs, in equal numbers, to receive either 4 or 8 grams of the sleeping pill. The amount of sleeping time is measured for each subject during an 8-hour period after the administration of the dosage. What type of design is this, and what type of statistic is needed to analyze the data?2. Dr. Bill Board designs a 2 X 2 between-subjects factorial design, where Factor A is word frequency (low or high) and Factor B is category cues (no cues or cues). Assume that the data are interval. What type of statistic is needed to analyze the data.
UH Factorization Eigenvector & Value Decomposition Theorem Worksheet
Need homework help for linear algebra factorization and eigenvector questions. Please see the attached files for the quest ...
UH Factorization Eigenvector & Value Decomposition Theorem Worksheet
Need homework help for linear algebra factorization and eigenvector questions. Please see the attached files for the question requirements.
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.
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SDCC Conditions Met for Calculating a Confidence Interval Analysis
Question 1
In June, 2021, Gallup published an online article titled Public Backs Requiring COVID-19 Vaccine to Attend Scho ...
SDCC Conditions Met for Calculating a Confidence Interval Analysis
Question 1
In June, 2021, Gallup published an online article titled Public Backs Requiring COVID-19 Vaccine to Attend School (Links to an external site.) by Jeffrey M. Jones.
According to the article, 61% of U.S. adults who responded to the survey favor requiring College students to be vaccinated in order to attend classes (including classes in fall 2021). A representative random sample of 3,572 adults U.S. adults, aged 18 and older, were surveyed.
Are conditions met for calculating a confidence interval? Support your conclusion mathematically and show your work.
If conditions are met, use your graphing calculator to calculate a 95% confidence interval that estimates the proportion of U.S. adults who favor requiring College students to be vaccinated in order to attend classes. State your results in context.
Question 2
Login and open StatCrunch (directions).
Open your IAT sample data set in StatCrunch (directions)
We will use a 90% confidence interval to estimate the population proportion of participants born-female in our chosen IAT data set.
So, you are tasked with using your IAT sample to calculate a 90% confidence interval that estimates the population proportion of participants born-female in your particular IAT. But, you are missing a piece of information that would allow you to use your graphing calculator to find the confidence interval. What piece of information is missing?
Even though we cannot readily use our graphing calculators, StatCrunch can calculate the confidence interval for us! Use StatCrunch to find the 90% confidence interval for the population proportion of female participants in your particular IAT (directions - opens in a new tab). Highlight and copy everything in your StatCrunch output window and paste it in your response.
Identify the sample proportion (?? )(p^) in the StatCrunch output table. Then determine whether conditions are met for using the confidence interval to estimate the population proportion of female participants in your chosen IAT. Show your work.
If conditions are met, estimate the population proportion of female participants in your particular IAT, and state your conclusion in context. If conditions are not met, explain what a researcher could do so that conditions are met.
Based on your analysis, do you think the population of participants in your chosen IAT are representative of the U.S. population? Explain.
https://www.statcrunch.com/app/index.php?dataid=38...
Argosy University Week 7 Data Summary for The Variance Analysis Worksheet
Part one For this assignment, use data you downloaded in your W1 Project.Suppose you have information that the average str ...
Argosy University Week 7 Data Summary for The Variance Analysis Worksheet
Part one For this assignment, use data you downloaded in your W1 Project.Suppose you have information that the average stress score of students in online universities is 13.15.Using Microsoft Excel, compute a one-sample t-test to find out whether the stress scores reported by your sample are significantly different from those of the population of online students.Move your output into a Microsoft Word document.Write one paragraph to explain how you located and determined the critical value of t, and how you determined whether your obtained t-statistic was significant.Write a 1-paragraph, APA-formatted interpretation of the results modeled on the example given in your lecture.Part 2For this assignment, use data from W1 Project.This week, you will first look to see whether the type of information participants were given, whether consistent or inconsistent with what they viewed in the video, has a bearing on confidence. You will next explore the hypothesis that memory may decay over time.1. Choose and calculate the appropriate t-test to compare the confidence of participants given consistent feedback with those given inconsistent feedback.a. Move your output into a Microsoft Word document and write an interpretation of your test following the data output in one paragraph. Be sure to use APA format and write a formal report modeled on the examples given in your lecture.2. Choose and calculate the appropriate t-test to compare Recall 1 with Recall 3.a. Move your output into a Microsoft Word document and write an interpretation of your tested following the data output in one paragraph. Be sure to use APA format and write a formal report modeled on the examples given in your lecture.Do not take this question if you are not good with excel or statistics!!!!
The table lists the average annual cost of tuition and fees, algebra homework help
The table lists the average annual cost of tuition and fees
at private 4-year colleges for sel ...
The table lists the average annual cost of tuition and fees, algebra homework help
The table lists the average annual cost of tuition and fees
at private 4-year colleges for selected years.
Year Tuition and Fees (in dollars)
1994 11,719
1996 13,994
1998 17,709
2000 16,233
2002 21,116
2004 24,101
2006 32,218
1. Given any two
data points with each consisting of the year and its corresponding tuition and
fees, describe in detail how you would find a linear function that models the
data shown in the table. Be sure to clearly define and interpret all components
involved in your model.
2. Determine a
linear function that models the data, where 0 x= represents 1994, and 1 x=
represents 1995, and so on. Use the points ( ) 0,11719 and( ) 12,32218 . Choose
two more combinations of points and use them to create two additional linear
functions that model the data. Record the three linear functions below.
Function 1:
Function 2:
Function 3:
3. How would you go about using these functions
to predict the average annual cost of tuition and fees for a future year?
Suppose you are in the marketing department for a college and you are trying to
determine which function to use to encourage future students attend your
college. Explore and state the messages that can be sent to prospective
students by each function.
4. Use all three functions to approximate
tuition and fees in 2035. State your results below. Next, choose the function
you would use to encourage prospective students and explain the reasoning
behind your choice.
Function 1:
Function 2:
Function 3:
Function of
choice:
Explanation:
Statistic Questions
1. To determine whether a new sleeping pill has an effect that varies with dosage, a researcher randomly assigns adult ins ...
Statistic Questions
1. To determine whether a new sleeping pill has an effect that varies with dosage, a researcher randomly assigns adult insomniacs, in equal numbers, to receive either 4 or 8 grams of the sleeping pill. The amount of sleeping time is measured for each subject during an 8-hour period after the administration of the dosage. What type of design is this, and what type of statistic is needed to analyze the data?2. Dr. Bill Board designs a 2 X 2 between-subjects factorial design, where Factor A is word frequency (low or high) and Factor B is category cues (no cues or cues). Assume that the data are interval. What type of statistic is needed to analyze the data.
UH Factorization Eigenvector & Value Decomposition Theorem Worksheet
Need homework help for linear algebra factorization and eigenvector questions. Please see the attached files for the quest ...
UH Factorization Eigenvector & Value Decomposition Theorem Worksheet
Need homework help for linear algebra factorization and eigenvector questions. Please see the attached files for the question requirements.
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.
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