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TESU Real World Applications of Polynomial and Rational Functions Research Paper
Polynomial and Rational Functions are the major focus of this week’s course material, are commonly found in not just the ...
TESU Real World Applications of Polynomial and Rational Functions Research Paper
Polynomial and Rational Functions are the major focus of this week’s course material, are commonly found in not just the study of physics, but also other forms of mathematics (e.g, calculus, and also geometry), navigation, modeling of various real world systems, and other fields. In short, Polynomial and Rational Functions are incredibly useful and found in many different fields of study, and are well worth the extended look we will be giving them. Polynomial and Rational Functions and how they are used in various fields of study. What are some typical real world situations where you find one or more of these concepts being used? Pick one real world scenario and describe it in some detail. Take the class through a problem involving your real world situation and show your results. Also explain what was the most interesting thing you learned about how the concepts are being used in your real world scenario?
15 pages
Math Questions
A store in Minnesota advertises that on a holiday, everything is 20% off. A person buys shoes for $40 and socks for $10. I ...
Math Questions
A store in Minnesota advertises that on a holiday, everything is 20% off. A person buys shoes for $40 and socks for $10. In Minnesota there is no tax ...
writing sta
Question 1 (25 credits): The attached dataset, provides some information about hospitals in 2011 and 2012, download the ...
writing sta
Question 1 (25 credits): 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 questions. In term of hospital characters what are the significant difference between 2011 and 2012?In term of socio-economic variables what are the significant difference between 2011 and 2012?Based on your findings in which years hospitals had better performance? How hospital performance related to hospital characteristics and socio-economic characteristics? Please write at least three main different movements between 2011 and 2012. To report the “Per Capita Hospital Beds to Population”, you need to divide “total_hospital_beds/ tot_population) Table 1. Descriptive statistics between hospitals in 2011 & 2012 2011 2012 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 Soci-Economic Variables 14. Per Capita Hospital Beds to Population 15. Percent of population under poverty 16. Percent of Female population under poverty 17.Percent of Male population under poverty 18. Median Household Income (Note: You can use week 1 exercise’s codes to answer this question, but you need to modify that for this analysis) Question 2 (25 credits): Use the dataset from week1 exercise and then answer the following questions: Compare the following information between for-profit and non-for-profit hospitals.What are the main significant differences between for-profit and non-for-profit hospitals? Which test is the best fit test? Why?Use a box-plot and compare Hospital net benefit between for-profit and non-for-profit hospitals.Show another scatter plot and compare hospital cost (x-axes) and revenue (y-axes) and discuss your findings?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.Overall, what are the main significant differences between for-profit and non-for-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 Soci-Economic Variables 14. Per Capita Hospital Beds to Population 15. Percent of population under poverty 16. Percent of Female population under poverty 17.Percent of Male population under poverty 18. Median Household Income (Note: You can use week 2 exercise’s codes for this analysis, you need to modify that for this analysis). Question 3 (25 credits): The dataset provides Herfindahl–Hirschman Index for health insurance market, please use the herf_ins variable and answer the following questions: 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. Please remember for the class exercise you used the herf_cat as a hospital herfindahl index for this question make sure to use herf_ins as herfindahl index for insurance market. Use the dataset from week1 exercise and then answer the following questions: In a short paragraph explain the herfindahl index 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 markets? (use Anova test)What is the impact of being in high-competitive health insurance 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? Run a regression model use the benefit as a dependent variable and hospital beds, herf_index, Medicare and Medicaid discharges, system membership, and number of interns and residents as independent variables and discuss your findings. (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 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 Soci-Economic Variables 14. Per Capita Hospital Beds to Population 15. Median Household Income (Note: You can use week 3 exercise’s codes for this analysis, you need to modify that for this analysis). Question 4 (25 credits): You need to explore the impact of hospital characteristics on hospital wage, so please follow these steps to make your dataset ready for the analysis. You need to compute the Medicare-discharge-ratio and Medicaid-discharge-ratio, if you answered to questions 3 you already generated these variables. When you have your data ready, please answer the following questions: Table 4. Comparing hospital characteristics and market, 2011 and 2012 2011 & 2012 Hospital Characteristics N Mean St. Dev Hospital beds System Membership Teaching Status Non-for-profit Total hospital cost Socio-Economic Characteristics Medicare discharge ratio Medicaid discharge ratio Being in the Rural areas Per Capita Hospital Beds to Population Median Household Income (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 non-for-profit on hospital’s wage? Discuss your finding, do you think having higher beds has positive impact on the hospital wage? What about the non-for-profit? 2nd Model: Now, estimate the impact of being a member of a system and teaching hospitals and hospital cost on hospital’s wage? 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? 4th Model: For the last model add hospital bed-percapita, being in a rural areas and household income and discuss your findings? Based on your finding please recommend 3 policies to improve hospital performance, please make sure to use the final model for your recommendation. Please also add at least two policy recommendations for the community for example how do you treat household with lower income? And people who are in areas with lower hospital beds? As the final suggestion what is the impact of being in rural areas on hospital wage? Model 1 Model 2 Model 3 Model 4 Hospital Characteristics Coeff. St. Err Coeff. St. Err Coeff. St. Err Coeff. St. Err Hospital beds Non-for-profit System Membership Teaching Status Total hospital cost Socio-Economic Characteristics Medicare discharge ratio Medicaid discharge ratio Being in the Rural areas Per Capita Hospital Beds to Population Median Household Income N R-Squared (Note: You can use week 5 exercise’s codes for this analysis, you need to modify that for this analysis). Please use this file to answer the questions and submit to the exercise submission folder. Notes:you can use excel Useful formula and guideline. The computation of the p-value is illustrated in following figures.
MATH 125 UW Finite Mathematics & Modeling Statistics & the Olympic Games Project
Finite Mathematics & Modeling (MATH 125) is a general education course designed to assist students in the development of c ...
MATH 125 UW Finite Mathematics & Modeling Statistics & the Olympic Games Project
Finite Mathematics & Modeling (MATH 125) is a general education course designed to assist students in the development of critical life skills. One of the goals of this assignment is to assess students’ competence for each of these objectives: Written and Oral Communication Skills – examine the mathematical contributions made by people from diverse cultures throughout history, and their social, and cultural significance (CCO 14),Critical Analysis and Reasoning – evaluate cultural and social applications and approaches to statistical analysis (CCO16),Information Literacy – find, evaluate, use, and cite academic resources for conducting research in mathematics (CCO17),Scientific and Quantitative or Logical Reasoning – describe, numerically and graphically, various forms and presentations of statistical data (CCO13).Descriptive statisticsStatistical displays of dataAnalyzing and interpreting statistics in a global community III.Technological Competence – apply technology to the solution of mathematical problems (CCO9), In addition to the above general education objectives, this assignment assesses students’ understanding and application of the following skills and knowledge specific to Finite Mathematics & Modeling (MATH 125). Elementary Statistics: ASSIGNMENT: Purpose: The purpose of this assignment is to provide you with an opportunity to demonstrate the ability to analyze and compare two sets of data using the statistical methods discussed in this course. Audience: The audience for your report will be your instructor. In general, assume the person reading your report has little background knowledge of historical racing times, but enough background knowledge in statistics to be able to understand your analysis. Directions: Please respond to all questions using complete sentences, linking your mathematical statements with proper exposition. Be sure to satisfy the length requirement for questions that indicate one. ASSIGNMENT SPECIFICATIONS: This assignment is to be completed individually as a take-home project. The length of your report should be adequate to have fully answered each question.Your project should be typed; however, mathematical calculations may be handwritten.Your facts must be properly cited with in-text parenthetical citations and a Works Cited page.http://owl.english.purdue.edu/owl/resource/747/01/http://www.ccbcmd.edu/Resources-for-Students/Tutoring-and-Academic- Coaching/Writing-Center- and-Online-Writing-Lab/Documenting-and-Citing-Sources.aspxThis assignment will account for at least 10% of your total course grade.See attached rubric for details about how your project will be graded. This project is due on In Fall 2020 this date should not be before November 16.For paper submissions, please submit TWO copies. One copy should include your student ID, course number and section and omit student and faculty names. The other will be evaluated within your course and should include the student name.Electronic submissions should be made with the student’s ID number (900 or 901#) as the file name through Blackboard. Student and instructor names should not appear on electronic submissions. For citation, use the Modern Language Association (MLA) format and use parenthetical citation with a Works Cited list as the final page (non-content page). Purdue University offers a very good online reference at their Writing Lab's website. GRADING: SUBMISSION GUIDELINES: Statistics & the Olympic Games The 10,000 meters is a standard track event and it is a part of both the Olympic Games and World Championships. A sample from the top 17 finishers of the men’s and women’s races from the 2015 World Championships are listed in the attached data tables. Calculate the mean, median, range, and standard deviation for each data set.Suppose the timing device used in the men’s race failed to activate at the start of the race and instead began to record the times x seconds into the race.Determine who placed 20thin the men’s and in the women’s 10,000 meter races at the 2016 Summer Olympics in Rio de Janeiro.If both of those 20thplace finishers from question #3, had competed in the 2015 World Championships with their 2016 Olympic time, where would they have placed?The calculation for standard deviation is accredited to Francis Galton. In three to five sentences, describe the life of Francis Galton and specifically why he may have needed a calculation for the standard deviation or variance. You are expected to use at least two (2) technology tools to make your calculations (such as a calculator, Microsoft Excel, etc.). State specifically what technology you used. If you choose to use Microsoft Excel, instructions for these calculations can be found here: http://researchbasics.education.uconn.edu/calculatingmeanstandarddev Consider how the competitors’ times would be affected. Would the x seconds be added to or subtracted from the times recorded to find the true times? Would the median you calculated in question #1 be affected? If yes, how?If no, why not? Record the names, nationalities, and times. Be sure to properly cite at least two (2) sources on a Works Cited page. Under Assignment Specifications below, there are some guidelines to help you with citing your sources. Which one would have done relatively better than the other at the 2015 World Championships? Justify your answer mathematically. Consider using more than one method to justify your answer. For assistance converting minutes into seconds, view this video: https://www.khanacademy.org/math/4th-engage-ny/engage-4th-module-7/4th-module-7- topic- a/v/time-unit-conversion Men’s 2015 World Championship – Final Results (top 17 finishers) Rank Name Nationality Time (seconds) 1 Mo Farah Great Britain (GBR) 1621.13 2 Geoffrey Kipsang Kenya (KEN) 1621.76 3 Paul Tanui Kenya (KEN) 1622.83 4 Bedan Karoki Kenya (KEN) 1624.77 5 Galen Rupp United States (USA) 1628.91 6 Abrar Osman Eritrea (ERI) 1663.21 7 Ali Kaya Turkey (TUR) 1663.69 8 Timothy Toroitich Uganda (UGA) 1664.90 9 Joshua Kiprui Cheptegei Uganda (UGA) 1668.89 10 Muktar Edris Ethiopia (ETH) 1674.47 11 Mosinet Geremew Ethiopia (ETH) 1687.50 12 El Hassan El-Abbassi Bahrain (BHR) 1692.57 13 Nguse Tesfaldet Eritrea (ERI) 1694.72 14 Cameron Levins Canada (CAN) 1695.19 15 Hassan Mead United States (USA) 1696.30 16 Shadrack Kipchirchir United States (USA) 1696.30 17 Arne Gabius Germany (GER) 1704.47 Women’s 2015 World Championship – Final Results (top 17 finishers) Rank Name Nationality Time (seconds) 1 Vivian Cheruiyot Kenya (KEN) 1901.31 2 Gelete Burka Ethiopia (ETH) 1901.77 3 Emily Infeld United States (USA) 1903.49 4 Molly Huddle United States (USA) 1903.58 5 Sally Kipyego Kenya (KEN) 1904.42 6 Shalane Flanagan United States (USA) 1906.23 7 Alemitu Heroye Ethiopia (ETH) 1909.73 8 Betsy Saina Kenya (KEN) 1911.35 9 Belaynesh Oljira Ethiopia (ETH) 1913.01 10 Susan Kuijken Netherlands (NED) 1914.32 11 Jip Vastenburg Netherlands (NED) 1923.03 12 Sara Moreira Portugal (POR) 1926.14 13 Kasumi Nishihara Japan (JPN) 1932.95 14 Brenda Flores Mexico (MEX) 1935.26 15 Kate Avery Great Britain (GBR) 1936.19 16 Trihas Gebre Spain (ESP) 1940.87 17 Juliet Chekwel Uganda (UGA) 1940.95 International Association of Athletics Federations. 15th IAAF World Championships Timetable by Discipline, www.iaaf.org/competitions/iaaf-world-championships/15th-iaaf-world-championships- 4875/timetable/by discipline. Accessed 5 Oct. 2016.
Statistics Chamberlain Week 3 Measures of Central Tendency and Variation HW
Understanding descriptive statistics, their measures of center and their variability, helps form the foundation of statist ...
Statistics Chamberlain Week 3 Measures of Central Tendency and Variation HW
Understanding descriptive statistics, their measures of center and their variability, helps form the foundation of statistical analysis. Descriptive statistics tell us how frequently an observation occurs, what is considered average, and how far data in our sample deviate from being average. With these statistics, we are able to provide a summary of characteristics from both large and small datasets. Measures of central tendency and variability provide valuable information on their own, and form the cornerstone of the quantitative structures that we build in our research studies.Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 2LessonMinimum of 1 scholarly sourceIn your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s).Initial Post InstructionsFor this Discussion, you will examine central tendency and variability in terms of pulse rate.Find and record the pulse rate of 10 different people where you work. Tell us a little about the population from which you drew your data. Describe your findings in terms of central tendency and variability.Consider using some of the following to help you form your initial discussion post:What are your measures of central tendency (i.e., mean, median, and mode)? Which might be the better measure for central tendency and why?What is the standard deviation of your data? How variable are the data (range)?Are there any outliers? Investigate possible reasons for these outliers, and things that might limit them if further study were to be carried out.What are some variables that should be considered in discussing your measures of central tendency and variation? Is there any skewness in your measured data?How would you describe this data (i.e. what insights did you gain from this data)?Follow-Up Post InstructionsRespond to at least two peers or one peer and the instructor. Further the dialogue by providing more information and clarification.
9 pages
Text Mining Edd
The evolution of data sharing and communication platforms such as Twitter, Facebook, Instagram, and emails has resulted in ...
Text Mining Edd
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TESU Real World Applications of Polynomial and Rational Functions Research Paper
Polynomial and Rational Functions are the major focus of this week’s course material, are commonly found in not just the ...
TESU Real World Applications of Polynomial and Rational Functions Research Paper
Polynomial and Rational Functions are the major focus of this week’s course material, are commonly found in not just the study of physics, but also other forms of mathematics (e.g, calculus, and also geometry), navigation, modeling of various real world systems, and other fields. In short, Polynomial and Rational Functions are incredibly useful and found in many different fields of study, and are well worth the extended look we will be giving them. Polynomial and Rational Functions and how they are used in various fields of study. What are some typical real world situations where you find one or more of these concepts being used? Pick one real world scenario and describe it in some detail. Take the class through a problem involving your real world situation and show your results. Also explain what was the most interesting thing you learned about how the concepts are being used in your real world scenario?
15 pages
Math Questions
A store in Minnesota advertises that on a holiday, everything is 20% off. A person buys shoes for $40 and socks for $10. I ...
Math Questions
A store in Minnesota advertises that on a holiday, everything is 20% off. A person buys shoes for $40 and socks for $10. In Minnesota there is no tax ...
writing sta
Question 1 (25 credits): The attached dataset, provides some information about hospitals in 2011 and 2012, download the ...
writing sta
Question 1 (25 credits): 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 questions. In term of hospital characters what are the significant difference between 2011 and 2012?In term of socio-economic variables what are the significant difference between 2011 and 2012?Based on your findings in which years hospitals had better performance? How hospital performance related to hospital characteristics and socio-economic characteristics? Please write at least three main different movements between 2011 and 2012. To report the “Per Capita Hospital Beds to Population”, you need to divide “total_hospital_beds/ tot_population) Table 1. Descriptive statistics between hospitals in 2011 & 2012 2011 2012 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 Soci-Economic Variables 14. Per Capita Hospital Beds to Population 15. Percent of population under poverty 16. Percent of Female population under poverty 17.Percent of Male population under poverty 18. Median Household Income (Note: You can use week 1 exercise’s codes to answer this question, but you need to modify that for this analysis) Question 2 (25 credits): Use the dataset from week1 exercise and then answer the following questions: Compare the following information between for-profit and non-for-profit hospitals.What are the main significant differences between for-profit and non-for-profit hospitals? Which test is the best fit test? Why?Use a box-plot and compare Hospital net benefit between for-profit and non-for-profit hospitals.Show another scatter plot and compare hospital cost (x-axes) and revenue (y-axes) and discuss your findings?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.Overall, what are the main significant differences between for-profit and non-for-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 Soci-Economic Variables 14. Per Capita Hospital Beds to Population 15. Percent of population under poverty 16. Percent of Female population under poverty 17.Percent of Male population under poverty 18. Median Household Income (Note: You can use week 2 exercise’s codes for this analysis, you need to modify that for this analysis). Question 3 (25 credits): The dataset provides Herfindahl–Hirschman Index for health insurance market, please use the herf_ins variable and answer the following questions: 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. Please remember for the class exercise you used the herf_cat as a hospital herfindahl index for this question make sure to use herf_ins as herfindahl index for insurance market. Use the dataset from week1 exercise and then answer the following questions: In a short paragraph explain the herfindahl index 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 markets? (use Anova test)What is the impact of being in high-competitive health insurance 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? Run a regression model use the benefit as a dependent variable and hospital beds, herf_index, Medicare and Medicaid discharges, system membership, and number of interns and residents as independent variables and discuss your findings. (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 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 Soci-Economic Variables 14. Per Capita Hospital Beds to Population 15. Median Household Income (Note: You can use week 3 exercise’s codes for this analysis, you need to modify that for this analysis). Question 4 (25 credits): You need to explore the impact of hospital characteristics on hospital wage, so please follow these steps to make your dataset ready for the analysis. You need to compute the Medicare-discharge-ratio and Medicaid-discharge-ratio, if you answered to questions 3 you already generated these variables. When you have your data ready, please answer the following questions: Table 4. Comparing hospital characteristics and market, 2011 and 2012 2011 & 2012 Hospital Characteristics N Mean St. Dev Hospital beds System Membership Teaching Status Non-for-profit Total hospital cost Socio-Economic Characteristics Medicare discharge ratio Medicaid discharge ratio Being in the Rural areas Per Capita Hospital Beds to Population Median Household Income (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 non-for-profit on hospital’s wage? Discuss your finding, do you think having higher beds has positive impact on the hospital wage? What about the non-for-profit? 2nd Model: Now, estimate the impact of being a member of a system and teaching hospitals and hospital cost on hospital’s wage? 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? 4th Model: For the last model add hospital bed-percapita, being in a rural areas and household income and discuss your findings? Based on your finding please recommend 3 policies to improve hospital performance, please make sure to use the final model for your recommendation. Please also add at least two policy recommendations for the community for example how do you treat household with lower income? And people who are in areas with lower hospital beds? As the final suggestion what is the impact of being in rural areas on hospital wage? Model 1 Model 2 Model 3 Model 4 Hospital Characteristics Coeff. St. Err Coeff. St. Err Coeff. St. Err Coeff. St. Err Hospital beds Non-for-profit System Membership Teaching Status Total hospital cost Socio-Economic Characteristics Medicare discharge ratio Medicaid discharge ratio Being in the Rural areas Per Capita Hospital Beds to Population Median Household Income N R-Squared (Note: You can use week 5 exercise’s codes for this analysis, you need to modify that for this analysis). Please use this file to answer the questions and submit to the exercise submission folder. Notes:you can use excel Useful formula and guideline. The computation of the p-value is illustrated in following figures.
MATH 125 UW Finite Mathematics & Modeling Statistics & the Olympic Games Project
Finite Mathematics & Modeling (MATH 125) is a general education course designed to assist students in the development of c ...
MATH 125 UW Finite Mathematics & Modeling Statistics & the Olympic Games Project
Finite Mathematics & Modeling (MATH 125) is a general education course designed to assist students in the development of critical life skills. One of the goals of this assignment is to assess students’ competence for each of these objectives: Written and Oral Communication Skills – examine the mathematical contributions made by people from diverse cultures throughout history, and their social, and cultural significance (CCO 14),Critical Analysis and Reasoning – evaluate cultural and social applications and approaches to statistical analysis (CCO16),Information Literacy – find, evaluate, use, and cite academic resources for conducting research in mathematics (CCO17),Scientific and Quantitative or Logical Reasoning – describe, numerically and graphically, various forms and presentations of statistical data (CCO13).Descriptive statisticsStatistical displays of dataAnalyzing and interpreting statistics in a global community III.Technological Competence – apply technology to the solution of mathematical problems (CCO9), In addition to the above general education objectives, this assignment assesses students’ understanding and application of the following skills and knowledge specific to Finite Mathematics & Modeling (MATH 125). Elementary Statistics: ASSIGNMENT: Purpose: The purpose of this assignment is to provide you with an opportunity to demonstrate the ability to analyze and compare two sets of data using the statistical methods discussed in this course. Audience: The audience for your report will be your instructor. In general, assume the person reading your report has little background knowledge of historical racing times, but enough background knowledge in statistics to be able to understand your analysis. Directions: Please respond to all questions using complete sentences, linking your mathematical statements with proper exposition. Be sure to satisfy the length requirement for questions that indicate one. ASSIGNMENT SPECIFICATIONS: This assignment is to be completed individually as a take-home project. The length of your report should be adequate to have fully answered each question.Your project should be typed; however, mathematical calculations may be handwritten.Your facts must be properly cited with in-text parenthetical citations and a Works Cited page.http://owl.english.purdue.edu/owl/resource/747/01/http://www.ccbcmd.edu/Resources-for-Students/Tutoring-and-Academic- Coaching/Writing-Center- and-Online-Writing-Lab/Documenting-and-Citing-Sources.aspxThis assignment will account for at least 10% of your total course grade.See attached rubric for details about how your project will be graded. This project is due on In Fall 2020 this date should not be before November 16.For paper submissions, please submit TWO copies. One copy should include your student ID, course number and section and omit student and faculty names. The other will be evaluated within your course and should include the student name.Electronic submissions should be made with the student’s ID number (900 or 901#) as the file name through Blackboard. Student and instructor names should not appear on electronic submissions. For citation, use the Modern Language Association (MLA) format and use parenthetical citation with a Works Cited list as the final page (non-content page). Purdue University offers a very good online reference at their Writing Lab's website. GRADING: SUBMISSION GUIDELINES: Statistics & the Olympic Games The 10,000 meters is a standard track event and it is a part of both the Olympic Games and World Championships. A sample from the top 17 finishers of the men’s and women’s races from the 2015 World Championships are listed in the attached data tables. Calculate the mean, median, range, and standard deviation for each data set.Suppose the timing device used in the men’s race failed to activate at the start of the race and instead began to record the times x seconds into the race.Determine who placed 20thin the men’s and in the women’s 10,000 meter races at the 2016 Summer Olympics in Rio de Janeiro.If both of those 20thplace finishers from question #3, had competed in the 2015 World Championships with their 2016 Olympic time, where would they have placed?The calculation for standard deviation is accredited to Francis Galton. In three to five sentences, describe the life of Francis Galton and specifically why he may have needed a calculation for the standard deviation or variance. You are expected to use at least two (2) technology tools to make your calculations (such as a calculator, Microsoft Excel, etc.). State specifically what technology you used. If you choose to use Microsoft Excel, instructions for these calculations can be found here: http://researchbasics.education.uconn.edu/calculatingmeanstandarddev Consider how the competitors’ times would be affected. Would the x seconds be added to or subtracted from the times recorded to find the true times? Would the median you calculated in question #1 be affected? If yes, how?If no, why not? Record the names, nationalities, and times. Be sure to properly cite at least two (2) sources on a Works Cited page. Under Assignment Specifications below, there are some guidelines to help you with citing your sources. Which one would have done relatively better than the other at the 2015 World Championships? Justify your answer mathematically. Consider using more than one method to justify your answer. For assistance converting minutes into seconds, view this video: https://www.khanacademy.org/math/4th-engage-ny/engage-4th-module-7/4th-module-7- topic- a/v/time-unit-conversion Men’s 2015 World Championship – Final Results (top 17 finishers) Rank Name Nationality Time (seconds) 1 Mo Farah Great Britain (GBR) 1621.13 2 Geoffrey Kipsang Kenya (KEN) 1621.76 3 Paul Tanui Kenya (KEN) 1622.83 4 Bedan Karoki Kenya (KEN) 1624.77 5 Galen Rupp United States (USA) 1628.91 6 Abrar Osman Eritrea (ERI) 1663.21 7 Ali Kaya Turkey (TUR) 1663.69 8 Timothy Toroitich Uganda (UGA) 1664.90 9 Joshua Kiprui Cheptegei Uganda (UGA) 1668.89 10 Muktar Edris Ethiopia (ETH) 1674.47 11 Mosinet Geremew Ethiopia (ETH) 1687.50 12 El Hassan El-Abbassi Bahrain (BHR) 1692.57 13 Nguse Tesfaldet Eritrea (ERI) 1694.72 14 Cameron Levins Canada (CAN) 1695.19 15 Hassan Mead United States (USA) 1696.30 16 Shadrack Kipchirchir United States (USA) 1696.30 17 Arne Gabius Germany (GER) 1704.47 Women’s 2015 World Championship – Final Results (top 17 finishers) Rank Name Nationality Time (seconds) 1 Vivian Cheruiyot Kenya (KEN) 1901.31 2 Gelete Burka Ethiopia (ETH) 1901.77 3 Emily Infeld United States (USA) 1903.49 4 Molly Huddle United States (USA) 1903.58 5 Sally Kipyego Kenya (KEN) 1904.42 6 Shalane Flanagan United States (USA) 1906.23 7 Alemitu Heroye Ethiopia (ETH) 1909.73 8 Betsy Saina Kenya (KEN) 1911.35 9 Belaynesh Oljira Ethiopia (ETH) 1913.01 10 Susan Kuijken Netherlands (NED) 1914.32 11 Jip Vastenburg Netherlands (NED) 1923.03 12 Sara Moreira Portugal (POR) 1926.14 13 Kasumi Nishihara Japan (JPN) 1932.95 14 Brenda Flores Mexico (MEX) 1935.26 15 Kate Avery Great Britain (GBR) 1936.19 16 Trihas Gebre Spain (ESP) 1940.87 17 Juliet Chekwel Uganda (UGA) 1940.95 International Association of Athletics Federations. 15th IAAF World Championships Timetable by Discipline, www.iaaf.org/competitions/iaaf-world-championships/15th-iaaf-world-championships- 4875/timetable/by discipline. Accessed 5 Oct. 2016.
Statistics Chamberlain Week 3 Measures of Central Tendency and Variation HW
Understanding descriptive statistics, their measures of center and their variability, helps form the foundation of statist ...
Statistics Chamberlain Week 3 Measures of Central Tendency and Variation HW
Understanding descriptive statistics, their measures of center and their variability, helps form the foundation of statistical analysis. Descriptive statistics tell us how frequently an observation occurs, what is considered average, and how far data in our sample deviate from being average. With these statistics, we are able to provide a summary of characteristics from both large and small datasets. Measures of central tendency and variability provide valuable information on their own, and form the cornerstone of the quantitative structures that we build in our research studies.Required ResourcesRead/review the following resources for this activity:OpenStax Textbook: Chapter 2LessonMinimum of 1 scholarly sourceIn your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s).Initial Post InstructionsFor this Discussion, you will examine central tendency and variability in terms of pulse rate.Find and record the pulse rate of 10 different people where you work. Tell us a little about the population from which you drew your data. Describe your findings in terms of central tendency and variability.Consider using some of the following to help you form your initial discussion post:What are your measures of central tendency (i.e., mean, median, and mode)? Which might be the better measure for central tendency and why?What is the standard deviation of your data? How variable are the data (range)?Are there any outliers? Investigate possible reasons for these outliers, and things that might limit them if further study were to be carried out.What are some variables that should be considered in discussing your measures of central tendency and variation? Is there any skewness in your measured data?How would you describe this data (i.e. what insights did you gain from this data)?Follow-Up Post InstructionsRespond to at least two peers or one peer and the instructor. Further the dialogue by providing more information and clarification.
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Text Mining Edd
The evolution of data sharing and communication platforms such as Twitter, Facebook, Instagram, and emails has resulted in ...
Text Mining Edd
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