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hello
cos b = 5/13
B = COS-1(5/13)
B = 67
ANSWER IS option C
C . 67
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dummy variable
In Week 9, you completed your Part 1 for this Assignment. For this week, you will complete Part 2 where you will create a ...
dummy variable
In Week 9, you completed your Part 1 for this Assignment. For this week, you will complete Part 2 where you will create a research question that can be answered through multiple regression using dummy variables.Part 2To prepare for this Part 2 of your Assignment:
Review Warner’s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this week’s Learning Resources and consider the use of dummy variables.
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.
Consider the following:
Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well.
Once you perform your analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Part 2 Assignment:Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
6 pages
Distributions
The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, whi ...
Distributions
The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed ...
Rasmussen Coca Cola Bottling Company Tableau Mobile Dashboards Paper
Based on the topic you selected, you must use Data.gov or Census.gov to locate and download a dataset that is related to y ...
Rasmussen Coca Cola Bottling Company Tableau Mobile Dashboards Paper
Based on the topic you selected, you must use Data.gov or Census.gov to locate and download a dataset that is related to your new product or service. Sometimes these datasets contain a great deal of raw data, so you will need to use Tableau Prep to extract and analyze it before using it to begin building data visualizations.In a 3-4 page paper, you must:Provide the source of your dataset, along with the URL and description, and explain why this dataset best suits your Business Intelligence plan.Provide snapshots of your extraction and analysis using Tableau Prep. This should include any filters, column renaming, data format changes, and so on.Provide snapshots of any NULL value filters, if your data contains NULL values.Your submission must include:Your Microsoft Word document with at least 5 screenshots and descriptions of your extraction and analysis steps.Your original dataset in .csv or .xlsx file format.A Tableau Prep flow file in .tfl format.
Writing Statistics
1This assignment is aimed at giving students an opportunity to select and analyze a real quantitative research study and ...
Writing Statistics
1This assignment is aimed at giving students an opportunity to select and analyze a real quantitative research study and explain how it may or may not be able to help improve an aspect of health care delivery. This will be a 3 – 5 page paper that meets the general writing guidelines which are outlined in the syllabus. This assignment should be carried out as follows: Step #1: Study selection – Select the article that most interests you. A Randomized Trial of Intensive versus Standard Blood-Pressure Control Step #2: Summary: Write a 5 – 6 page summary and analysis of the key aspects of the article you selected. In this summary you should cover the following items in the article: Describe the research hypothesis in the articleDescribe the type of quantitative research design selected and why this design was chosen by the author(s), i.e. Descriptive, Correlational, Causal-comparative/quasi-experimental research or Experimental research. The following link provides a quick review of the differences http://www.bcps.org/offices/lis/researchcourse/develop_quantitative.htmlVariables testedResearch designData AnalysisResultsConclusions 2For this assignment, students will be given data from a quantitative analysis and will be asked to analyze it using RStuido, SPSS, STATA, SAS or any other software (your choice). Data set: Minnesota Healthcare Database.xlsx Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is 5-6 page individual project. Here are the main steps for this assignment. Step 1: Students require to submit the topic using topic selection discussion forum by end of week 4 and wait for instructor approval. Step 2: Develop the research question and Step 3: Run the analysis using RStudio and report the findings using the assignment instruction. 3Week 1, Exercise: The attached dataset, provides some information about hospitals in 2011 and 2012, download the data and then complete the descriptive table. Please use the following format to report your findings. Table 1. Descriptive statistics between hospitals in 2011 & 2012 Hospital Characteristics 2011 2012 p-value N Mean St. Dev N Mean St. Dev 1. Hospital beds 2. Number of paid Employee 3. Number of non-paid Employee 4. Total hospital cost 5. Total hospital revenues 6. Available Medicare days 7. Available Medicaid days 8. Total Hospital Discharge 9. Medicare discharge 10. Medicaid discharge Based on your findings in which years hospitals had better performance? Please write a short paragraph and describe your findings. (Note: Master RStudio script is available for this exercise, but you need to modify that for this analysis) Week 2, Exercise: Use the dataset from week1 exercise and then answer the following questions: Compare the following information between teaching and non-teaching hospitals.What are the main significant differences between teaching and non-teaching hospitals? (use ttest)Comparing hospital net-benefit which hospitals has better performance? To answer this question first compute the hospital net benefits with subtracting hospital costs and revenues and then use ttest to compare the significant differences between teaching and non-teaching hospitals.Use a box-plot and compare hospitals-cost and hospital-revenues between teaching and non-teaching hospitals.Write a short paragraph and describe your findings. Table 2. Descriptive statistics between teaching and non-teaching hospitals, 2011 & 2012 Hospital Characteristics Teaching Non-Teaching p-value N Mean St. Dev N Mean St. Dev 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 (Note: Master RStudio script is available for this exercise, but you need to modify that for this analysis) Week 3& 4, Exercise: The dataset provides Herfindahl–Hirschman Index, and herfindahel index categories, please use the herf_cat variable and answer the following questions: Note: “The Herfindahl–Hirschman Index is a commonly accepted measure of market concentration used by antitrust enforcement agencies and scholars in the field. The HHI is calculated by squaring the market share of each firm competing in the market and then summing the resulting numbers” (NASI, 2015; pp: 14-16). read more from here: https://www.urban.org/sites/default/files/publication/50116/2000212-Addressing-Pricing-Power-in-Health-Care-Markets.pdf For this exercise you do not need to compute the HHI, but if you have any questions, please do not hesitate to ask me, but try to learn more about this you will need that to report your findings. Use the dataset from week1 exercise and then answer the following questions: Compare the following information between hospitals located inhigh, moderate and low competitive markets? (table 1)What are the main significant differences between hospitals in different markets? (use Anova test)Use the density curves and compare hospitals cost and revenues between three markets.What is the impact of being in high-competitive market on hospital revenues and cost? Do you think being in high-competitive market has positive impact on net hospital benefits? What about the number of Medicare and Medicaid discharge? Do you think hospitals in higher completive market more likely to accept more Medicare and Medicaid patients? What are the impact of other variables? Please discuss your findings in 1-2 paragraphs. (Note: to answer to the last question, please compute the ratio-Medicare-discharge and ratio-Medicaid-discharge first and then run 2 ttest)high vs. moderate and high vs. low competitive market), please support your findings with box-plot). Table 3. Comparing hospital characteristics and market, 2011 and 2012 High Competitive Market Moderate Competitive Market Low Competitive Market ANOVA/Chi-Sq (results) Hospital Characteristics N Mean STD N Mean STD N Mean STD Hospital bedsNumber of paid EmployeeNumber of non-paid EmployeeInternes and ResidentsSystem MembershipTotal hospital costTotal hospital revenuesHospital net benefitAvailable Medicare daysAvailable Medicaid daysTotal Hospital DischargeMedicare dischargeMedicaid discharge 14. Herfindahel index (Note: Master RStudio script is available for this exercise, but you need to modify that for this analysis) Week -5& 6 For this week exercise, we need to explore the impact of hospital characteristics on net hospital benefit, so please follow these steps to make your dataset ready for the analysis. Step 1: As described for week 2 exercise, compute the hospital net benefits with subtracting hospital costs and revenues. Step 2: As described for week 3&4, compute the ratio-Medicare-discharge and ratio-Medicaid-discharge Step 3: Use the bed-size categories for this regression When you have your data ready, please answer the following questions: First complete the descriptive table Table 4. Comparing hospital characteristics and market, 2011 and 2012 2011 & 2012 Hospital Characteristics N Mean St. Dev Hospital beds Bed Category Bed total <=49 50<=Bed total <=150 151<=Bed total <=250 251<=Bed total <=350 351<=Bed total <=450 Bed total >=500 System Membership Hospital ownership Public For Profit Non-for profit Other Total hospital cost Total hospital revenues Hospital net benefit Medicare discharge ratio Medicaid discharge ratio (Note: Master RStudio script is available for this exercise, but you need to modify that for this analysis) Question 5. Regression 1st Model: Run a linear model and predict the difference between hospital beds (use the bed-tot) and hospital’s ownership on hospital net-benefit? Discuss your finding, do you think having higher beds has positive impact on the hospital net benefit? What about the ownership? 2nd Model: Now, estimate the impact of being a member of a system on hospital net benefit? And discuss your finding (nor more than 2 lines)? Is it significant? 3nd Model: Now, include the ratio of ratio-Medicare-discharge and ratio-Medicaid-discharge in your model? How do you evaluate the impact of having higher Medicare and Medicaid patients on hospital revenues? Based on your finding please recommend 3 policies to improve hospital performance, please make sure to use the final model for your recommendation. Discuss your findings. (Note: Master RStudio script is available for this exercise, but you need to modify that for this analysis) Please use this file to answer the questions and submit to the exercise submission folder. Model 1a Model 2 Model 3 Hospital Characteristics Coef. St. Err Coef. St. Err Coef. St. Err Hospital beds Ownership For Profit Non-for profit Other Membership System Membership Socio-Economic Characteristics Medicare discharge ratio Medicaid discharge ratio N R-Squared
ACC 100: Accounting I ALEKS Homework assignments
I need help catching up any missed ALEKS Homework assignments or improve any low ALEKS scores from Week 1 to Week 5.
ACC 100: Accounting I ALEKS Homework assignments
I need help catching up any missed ALEKS Homework assignments or improve any low ALEKS scores from Week 1 to Week 5.
RSCH 665 Z TEST Assignment NEEDED Monday 12/10/18 or BEFORE
For this activity, utilize the five-step process and the following data set. The two populations are: Population A: oMe ...
RSCH 665 Z TEST Assignment NEEDED Monday 12/10/18 or BEFORE
For this activity, utilize the five-step process and the following data set. The two populations are: Population A: oMean=36, SD=4 Population B: o(sample of one): Raw Score=44 Set up a one-tail Z test evaluating the improvement of a score, presenting the following: Restate the research question as a research hypothesis and a null hypothesis about the populations.Determine the characteristics of the comparison distribution.Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected.Determine your sample’s score on the comparison distribution. 5.Decide whether to reject the null hypothesis.
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dummy variable
In Week 9, you completed your Part 1 for this Assignment. For this week, you will complete Part 2 where you will create a ...
dummy variable
In Week 9, you completed your Part 1 for this Assignment. For this week, you will complete Part 2 where you will create a research question that can be answered through multiple regression using dummy variables.Part 2To prepare for this Part 2 of your Assignment:
Review Warner’s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this week’s Learning Resources and consider the use of dummy variables.
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.
Consider the following:
Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well.
Once you perform your analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Part 2 Assignment:Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
6 pages
Distributions
The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, whi ...
Distributions
The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed ...
Rasmussen Coca Cola Bottling Company Tableau Mobile Dashboards Paper
Based on the topic you selected, you must use Data.gov or Census.gov to locate and download a dataset that is related to y ...
Rasmussen Coca Cola Bottling Company Tableau Mobile Dashboards Paper
Based on the topic you selected, you must use Data.gov or Census.gov to locate and download a dataset that is related to your new product or service. Sometimes these datasets contain a great deal of raw data, so you will need to use Tableau Prep to extract and analyze it before using it to begin building data visualizations.In a 3-4 page paper, you must:Provide the source of your dataset, along with the URL and description, and explain why this dataset best suits your Business Intelligence plan.Provide snapshots of your extraction and analysis using Tableau Prep. This should include any filters, column renaming, data format changes, and so on.Provide snapshots of any NULL value filters, if your data contains NULL values.Your submission must include:Your Microsoft Word document with at least 5 screenshots and descriptions of your extraction and analysis steps.Your original dataset in .csv or .xlsx file format.A Tableau Prep flow file in .tfl format.
Writing Statistics
1This assignment is aimed at giving students an opportunity to select and analyze a real quantitative research study and ...
Writing Statistics
1This assignment is aimed at giving students an opportunity to select and analyze a real quantitative research study and explain how it may or may not be able to help improve an aspect of health care delivery. This will be a 3 – 5 page paper that meets the general writing guidelines which are outlined in the syllabus. This assignment should be carried out as follows: Step #1: Study selection – Select the article that most interests you. A Randomized Trial of Intensive versus Standard Blood-Pressure Control Step #2: Summary: Write a 5 – 6 page summary and analysis of the key aspects of the article you selected. In this summary you should cover the following items in the article: Describe the research hypothesis in the articleDescribe the type of quantitative research design selected and why this design was chosen by the author(s), i.e. Descriptive, Correlational, Causal-comparative/quasi-experimental research or Experimental research. The following link provides a quick review of the differences http://www.bcps.org/offices/lis/researchcourse/develop_quantitative.htmlVariables testedResearch designData AnalysisResultsConclusions 2For this assignment, students will be given data from a quantitative analysis and will be asked to analyze it using RStuido, SPSS, STATA, SAS or any other software (your choice). Data set: Minnesota Healthcare Database.xlsx Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is 5-6 page individual project. Here are the main steps for this assignment. Step 1: Students require to submit the topic using topic selection discussion forum by end of week 4 and wait for instructor approval. Step 2: Develop the research question and Step 3: Run the analysis using RStudio and report the findings using the assignment instruction. 3Week 1, Exercise: The attached dataset, provides some information about hospitals in 2011 and 2012, download the data and then complete the descriptive table. Please use the following format to report your findings. Table 1. Descriptive statistics between hospitals in 2011 & 2012 Hospital Characteristics 2011 2012 p-value N Mean St. Dev N Mean St. Dev 1. Hospital beds 2. Number of paid Employee 3. Number of non-paid Employee 4. Total hospital cost 5. Total hospital revenues 6. Available Medicare days 7. Available Medicaid days 8. Total Hospital Discharge 9. Medicare discharge 10. Medicaid discharge Based on your findings in which years hospitals had better performance? Please write a short paragraph and describe your findings. (Note: Master RStudio script is available for this exercise, but you need to modify that for this analysis) Week 2, Exercise: Use the dataset from week1 exercise and then answer the following questions: Compare the following information between teaching and non-teaching hospitals.What are the main significant differences between teaching and non-teaching hospitals? (use ttest)Comparing hospital net-benefit which hospitals has better performance? To answer this question first compute the hospital net benefits with subtracting hospital costs and revenues and then use ttest to compare the significant differences between teaching and non-teaching hospitals.Use a box-plot and compare hospitals-cost and hospital-revenues between teaching and non-teaching hospitals.Write a short paragraph and describe your findings. Table 2. Descriptive statistics between teaching and non-teaching hospitals, 2011 & 2012 Hospital Characteristics Teaching Non-Teaching p-value N Mean St. Dev N Mean St. Dev 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 (Note: Master RStudio script is available for this exercise, but you need to modify that for this analysis) Week 3& 4, Exercise: The dataset provides Herfindahl–Hirschman Index, and herfindahel index categories, please use the herf_cat variable and answer the following questions: Note: “The Herfindahl–Hirschman Index is a commonly accepted measure of market concentration used by antitrust enforcement agencies and scholars in the field. The HHI is calculated by squaring the market share of each firm competing in the market and then summing the resulting numbers” (NASI, 2015; pp: 14-16). read more from here: https://www.urban.org/sites/default/files/publication/50116/2000212-Addressing-Pricing-Power-in-Health-Care-Markets.pdf For this exercise you do not need to compute the HHI, but if you have any questions, please do not hesitate to ask me, but try to learn more about this you will need that to report your findings. Use the dataset from week1 exercise and then answer the following questions: Compare the following information between hospitals located inhigh, moderate and low competitive markets? (table 1)What are the main significant differences between hospitals in different markets? (use Anova test)Use the density curves and compare hospitals cost and revenues between three markets.What is the impact of being in high-competitive market on hospital revenues and cost? Do you think being in high-competitive market has positive impact on net hospital benefits? What about the number of Medicare and Medicaid discharge? Do you think hospitals in higher completive market more likely to accept more Medicare and Medicaid patients? What are the impact of other variables? Please discuss your findings in 1-2 paragraphs. (Note: to answer to the last question, please compute the ratio-Medicare-discharge and ratio-Medicaid-discharge first and then run 2 ttest)high vs. moderate and high vs. low competitive market), please support your findings with box-plot). Table 3. Comparing hospital characteristics and market, 2011 and 2012 High Competitive Market Moderate Competitive Market Low Competitive Market ANOVA/Chi-Sq (results) Hospital Characteristics N Mean STD N Mean STD N Mean STD Hospital bedsNumber of paid EmployeeNumber of non-paid EmployeeInternes and ResidentsSystem MembershipTotal hospital costTotal hospital revenuesHospital net benefitAvailable Medicare daysAvailable Medicaid daysTotal Hospital DischargeMedicare dischargeMedicaid discharge 14. Herfindahel index (Note: Master RStudio script is available for this exercise, but you need to modify that for this analysis) Week -5& 6 For this week exercise, we need to explore the impact of hospital characteristics on net hospital benefit, so please follow these steps to make your dataset ready for the analysis. Step 1: As described for week 2 exercise, compute the hospital net benefits with subtracting hospital costs and revenues. Step 2: As described for week 3&4, compute the ratio-Medicare-discharge and ratio-Medicaid-discharge Step 3: Use the bed-size categories for this regression When you have your data ready, please answer the following questions: First complete the descriptive table Table 4. Comparing hospital characteristics and market, 2011 and 2012 2011 & 2012 Hospital Characteristics N Mean St. Dev Hospital beds Bed Category Bed total <=49 50<=Bed total <=150 151<=Bed total <=250 251<=Bed total <=350 351<=Bed total <=450 Bed total >=500 System Membership Hospital ownership Public For Profit Non-for profit Other Total hospital cost Total hospital revenues Hospital net benefit Medicare discharge ratio Medicaid discharge ratio (Note: Master RStudio script is available for this exercise, but you need to modify that for this analysis) Question 5. Regression 1st Model: Run a linear model and predict the difference between hospital beds (use the bed-tot) and hospital’s ownership on hospital net-benefit? Discuss your finding, do you think having higher beds has positive impact on the hospital net benefit? What about the ownership? 2nd Model: Now, estimate the impact of being a member of a system on hospital net benefit? And discuss your finding (nor more than 2 lines)? Is it significant? 3nd Model: Now, include the ratio of ratio-Medicare-discharge and ratio-Medicaid-discharge in your model? How do you evaluate the impact of having higher Medicare and Medicaid patients on hospital revenues? Based on your finding please recommend 3 policies to improve hospital performance, please make sure to use the final model for your recommendation. Discuss your findings. (Note: Master RStudio script is available for this exercise, but you need to modify that for this analysis) Please use this file to answer the questions and submit to the exercise submission folder. Model 1a Model 2 Model 3 Hospital Characteristics Coef. St. Err Coef. St. Err Coef. St. Err Hospital beds Ownership For Profit Non-for profit Other Membership System Membership Socio-Economic Characteristics Medicare discharge ratio Medicaid discharge ratio N R-Squared
ACC 100: Accounting I ALEKS Homework assignments
I need help catching up any missed ALEKS Homework assignments or improve any low ALEKS scores from Week 1 to Week 5.
ACC 100: Accounting I ALEKS Homework assignments
I need help catching up any missed ALEKS Homework assignments or improve any low ALEKS scores from Week 1 to Week 5.
RSCH 665 Z TEST Assignment NEEDED Monday 12/10/18 or BEFORE
For this activity, utilize the five-step process and the following data set. The two populations are: Population A: oMe ...
RSCH 665 Z TEST Assignment NEEDED Monday 12/10/18 or BEFORE
For this activity, utilize the five-step process and the following data set. The two populations are: Population A: oMean=36, SD=4 Population B: o(sample of one): Raw Score=44 Set up a one-tail Z test evaluating the improvement of a score, presenting the following: Restate the research question as a research hypothesis and a null hypothesis about the populations.Determine the characteristics of the comparison distribution.Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected.Determine your sample’s score on the comparison distribution. 5.Decide whether to reject the null hypothesis.
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