Description
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Review
Review
Anonymous
Nice! Really impressed with the quality.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
MHA-FP5017 ASSESSMENT-2 Hypothesis Testing for Differences Between Groups
Assessment 2 – Hypothesis Testing for Differences Between Groups Overview Perform hypothesis testing on the differe ...
MHA-FP5017 ASSESSMENT-2 Hypothesis Testing for Differences Between Groups
Assessment 2 – Hypothesis Testing for Differences Between Groups Overview Perform hypothesis testing on the differences between two groups and create an Excel document. Write a 2–3-page analysis of the results in a Word document and insert the results into this document. Note: You are strongly encouraged to complete the assessments in this course in the order they are presented. Hypothesis testing is a foundational statistical technique used to make decisions about a hypothesis. A hypothesis test compares two mutually exclusive statements (null hypothesis, alternative hypothesis) where only one is true. Hypothesis testing can determine statistical significance by examining the probability that a given result would occur under the null hypothesis. For this assessment, you will perform hypothesis testing on the differences between two groups. By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria: Competency 1: Plan for data collection, measurement, and analysis.Generate a hypothesis about the difference between two groups in a dataset.Identify the appropriate statistical test in a dataset.Competency 2: Analyze data using computer-based programming and software.Performs appropriate statistical test of the difference between two groups in a dataset.Competency 3: Interpret results of data analysis for value-based health care decisions, policy, or practice.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test.Competency 5: Communicate audience-appropriate health management content in a logically structured and concise manner, writing clearly with correct use of grammar, punctuation, spelling, and APA style.Write clearly and concisely, using correct grammar, mechanics, and APA formatting. Resources Statistical Significance Frey, B. B. (Ed.). (2018). Significance. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Gallo, A. (2016, February 16). A refresher on statistical significance. Harvard Business Review Digital Articles, 2–9.Simpson, S. H. (2015). Creating a data analysis plan: What to consider when choosing statistics for a study. Canadian Journal of Hospital Pharmacy, 68(4), 311–317. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45522... Hypothesis Testing Frey, B. B. (Ed.). (2018). Hypothesis testing. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Hypothesis Tester.Real Statistics Using Excel. (n.d.). Null and alternative hypothesis. Retrieved from http://www.real-statistics.com/hypothesis-testing/...Elliott. E. C. (n.d.). Understanding statistical hypothesis testing. Retrieved from https://www.stattutorials.com/understanding-hypoth...Gonzalez-Chica, D. A., Bastos, J. L., Duquia, R. P., Bonamigo, R. R., & Martínez-Mesa, J. (2015). Test of association: Which one is the most appropriate for my study? Anais brasileiros de dermatología, 90(4), 523–528. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45605...Quantitative Skills Center: Interpreting Statistical Data. p Value Frey, B. B. (Ed.). (2018). p value. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Elliott, E. C. (n.d.). Interpreting statistical p-values. Retrieved from https://www.stattutorials.com/p-value-interpreting... Interpreting Results Evaluation of Analytic Results.Interpreting Results of Inferential Techniques.Matching Statistical Tests to Hypotheses. Significance Tests Orr-Depner, R. (n.d.). Learning about 2-sample t-tests with Guitar Hero | Transcript. Retrieved from https://www.sophia.org/tutorials/learning-about-2-...Scheer, A. (n.d.). The basics of significance tests | Transcript. Retrieved from https://www.sophia.org/tutorials/sec-91-the-basics...StatisticsLectures.com. (n.d.). Statistical vs practical significance. Retrieved from http://www.statisticslectures.com/topics/statistic...Tutorials for Statistical Data Analysis. (n.d.). Two sample (independent group) t-test using Mcrosoft Excel. Retrieved from https://www.stattutorials.com/EXCEL/EXCEL_TTEST1.h... Textbook Kros, J. F., & Rosenthal, D. A. (2016). Statistics for health care management and administration: Working with Excel (3rd. ed.). San Francisco, CA: Jossey-Bass. Available in the courseroom via the VitalSource Bookshelf link. Preparation Download the Assessment 2 Dataset [XLSX]. The dataset contains the following variables: clinic1 (total number of visits per month for clinic 1) .clinic2 (total number of visits per month for clinic 2). Instructions An investor needs to make a decision on whether to acquire one of two medical clinics based on their productivity, as measured by the total number of visits per month. You have been asked whether there is a significance difference in the total number of visits per month between clinic 1 and clinic 2. For this assessment, perform hypothesis testing on the differences between two groups in the Assessment 2 Dataset. Create an appropriately labeled Excel document with your results. Also write an analysis of the results in a Word document. Insert the test results into this document (copied from the output file and pasted into a Word document). Refer to Copy From Excel to Another Office Program for instructions. Submit both the Word document and the Excel file that shows the results. Grading Criteria The numbered assessment instructions outlined below correspond to the grading criteria in the Hypothesis Testing for Differences Between Groups Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed. Generate a hypothesis about the difference between two groups in a dataset.State null hypothesis and alternative hypothesis as an explanation and math equation.Identify the appropriate statistical test in a dataset.Provide your statistical rationale.Perform appropriate statistical test of the difference between two groups in a dataset.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Interpret p-value and statistical significance.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test. Additional Requirements Your assessment should meet the following requirements: Written communication: Write clearly, accurately, and professionally, incorporating sources appropriately.Length: 2–3 pagesResources: Not required.APA format: Cite your sources using current APA format.Font and font size: Times Roman, 10 point.
Express your answer as a decimal, statistics homework help
1.Let X be a standard normal random variable. Find P(X < 0). Express your answer as a decimal.2.Let X be a standard nor ...
Express your answer as a decimal, statistics homework help
1.Let X be a standard normal random variable. Find P(X < 0). Express your answer as a decimal.2.Let X be a standard normal random variable. Find P(X ≤ -2.27). Express your answer as a decimal.3.Let X be a standard normal random variable. Find P(X > 2.82). Express your answer as a decimal.4.Let X be a standard normal random variable. Find P(-1.20 < X < 1.74). Express your answer as a decimal.5.Assume that thermometer readings are normally distributed with a mean of 0 degrees Celsius and a standard deviation of 1 degree Celsius. A thermometer is randomly selected and tested. Find the temperature reading that separates the bottom 95% from the top 5%. Round your answer to the nearest thousandth6.Assume that thermometer readings are normally distributed with a mean of 0 degrees Celsius and a standard deviation of 1 degree Celsius. A thermometer is randomly selected and tested. Find the temperature reading that separates the bottom 40.9% from the top 59.1%. Round your answer to the nearest hundredth.
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can ge ...
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can get a competitive advantage. The real estate
industry heavily uses linear regression to estimate home prices, as cost
of housing is currently the largest expense for most families.
Additionally, in order to help new homeowners and home sellers with
important decisions, real estate professionals need to go beyond showing
property inventory. They need to be well versed in the relationship
between price, square footage, build year, location, and so many other
factors that can help predict the business environment and provide the
best advice to their clients.PromptYou have been recently hired as a junior analyst by D.M. Pan Real
Estate Company. The sales team has tasked you with preparing a report
that examines the relationship between the selling price of properties
and their size in square feet. You have been provided with a Real Estate County Data
document that includes properties sold nationwide in recent years. The
team has asked you to select a region, complete an initial analysis, and
provide the report to the team.Note: In the report you prepare for the sales team,
the response variable (y) should be the median listing price and the
predictor variable (x) should be the median square feet.Specifically you must address the following rubric criteria, using the Module Two Assignment Template:Generate a Representative Sample of the Data
Select a region and generate a simple random sample of 30 from the data.Report the median listing price and median square foot, report the mean, median, and standard deviation.
Analyze Your Sample
Discuss how the regional sample created is or is not reflective of the national market.
Compare and contrast your sample with the population using the National Statistics and Graphs document.
Explain how you have made sure that the sample is random.
Explain your methods to get a truly random sample.
Generate Scatterplot
Create a scatterplot of the x and y variables noted above and include a trend line and the regression equation
Observe patterns
Answer the following questions based on the scatterplot:
Define x and y. Which variable is useful for making predictions?Is there an association between x and y? Describe the association you see in the scatter plot.What do you see as the shape (linear or nonlinear)?If you had a 1,200 square foot house, based on the regression equation in the graph, what price would you choose to list at?Do you see any potential outliers in the scatterplot?
Why do you think the outliers appeared in the scatterplot you generated?What do they represent?
University of The Cumberland Inferential Statistics and Decision Making Essay
Write a Research Question on Blockchain that covers all the questions stated below covering the topics from coursework.&nb ...
University of The Cumberland Inferential Statistics and Decision Making Essay
Write a Research Question on Blockchain that covers all the questions stated below covering the topics from coursework.
Speciality Area: Blockchain
Course : Inferential statistics and Decision Making
Topics covered in course:
1. correlation and regression tests
2. t-tests
3. ANOVA
4.Chi square
5. Spearman's rs, Z test
You have completed the "Inferential statistics and Decision Making" course. It is time to apply your learning. Respond to each of the following areas in separate sections.
1. Design a research question relevant to your specialty area.
2. Describe what type of data you would gather to answer the research question.
3. Determine which statistical test would be best to answer your research question.
4. What would you determine if the results were significant, based on your research question?
HLTH501 Liberty Medical Advertising, Reseach Ethics And Terminal Scenario
Discussion Board Question Number 2A fundamental ethical problem in statistics arises in experimentation (i.e., in the cont ...
HLTH501 Liberty Medical Advertising, Reseach Ethics And Terminal Scenario
Discussion Board Question Number 2A fundamental ethical problem in statistics arises in experimentation (i.e., in the context of studies of experimental drugs for treating AIDS). On one side, organizations such as the National Institute of Health insist on randomly assigning treatments such as flipping a coin for each patient to decide which treatment to assign. The advantage of randomized experiments is that they allow reliable conclusions without the need to worry about lurking variables. However, some groups of AIDS patients have opposed randomization, instead making the argument that each patient should be assigned the best available treatment (or to be more precise, whatever treatment is currently believed to be the best). The ethical dilemma is to balance the benefits to the patients in the study (who would like the opportunity to choose among available treatments) with future patients (who would be served by learning as soon as possible about the effectiveness of the competing treatments). The issue is complicated. On one hand, the randomized study is most trustworthy if all the patients in the study participate. If they are not treated respectfully, the patients might go outside the study and try other drugs, which could bias the estimates of treatment effects. On the other hand, the patients might benefit from being in an experimental study. Even if the treatment is randomized, the patients are getting close medical attention from the researchers. Current best practice is to design studies so that all subjects will be expected to benefit in some way, but still keeping the randomized element. For example, a study can compare two potentially beneficial experimental treatments, rather than comparing a treatment to an inert “control.” However, there will always be conflicts of interest between the patients in the study, the scientists conducting it, and the public at large.In your original post, compare and contrast at least two research designs that might be used to research life threatening diseases/disorders. At least one design should present ethical issues and at least one design should minimize potential ethical issues. Provide at least one Scripture passage that supports your ethical perspectives on medical/public health research. Your thread is due by 11:59 p.m. (ET) on Thursday and your two replies are due by 11:59 p.m. (ET) on Sunday.Discussion Question Number 3Consider the following three scenarios:1.
Suppose you work for an organization that runs tests for
life-threatening diseases and then discusses the results with their
patients. You have just tested a 45 year old male patient, father of
six, and according to the test he is terminally ill. Statistics shows
that the man has seven months to live. 2.
Your 31 year old daughter, who for five years has been underemployed
and unemployed, announces she has secured a stable and high paying job
as Director of Operations for a Colorado Marijuana facility. 3.
You are working for a foreign government that has had a disease
epidemic in a certain region of their country which has led to the
deaths of three million children. The disease is spread by mosquitos,
and the only quick and sure way to stop the epidemic is to spray
Chemical H on the jungle environments where the mosquitos live. Spraying
the chemical will lead to environmental issues for 20 years. Pick
one of the above scenarios and in that context, explain how your
knowledge of biostatistics might inform how you address the situation
and how you might advance a Biblical worldview. Fell free to add details
or assumptions left ambiguous in the prompt. Your thread is due by 11:59 p.m. (ET) on Thursday and your two replies are due by 11:59 p.m. (ET) on Sunday.
Similar Content
New York State University Carl Gauss Mathematician Biographical Essay
Write a one or two page biographical essay of a famous mathematician. He/she could also be an applied mathematician in ph...
Help with geometry problem
...
Find the Inverse Function Algebraic Questions
Saad Abdullah Majrashi
Assignment Homework 4 due 10/05/2021 at 11:59pm CDT
f21akapshukt0320s002
5. (1 point) Given that ...
find the equation of the line with slope -6 and passing through (2,-3)
find the equation of the line...
Linear Programming Problem
Linear Programming (Graphical/Corner points) Solve the following problem by drawing the feasible regioncomputing the...
California State University Long Beach Interval of Convergence Questions
this is my calculus homework and i want to get an answer and explanation pls...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
MHA-FP5017 ASSESSMENT-2 Hypothesis Testing for Differences Between Groups
Assessment 2 – Hypothesis Testing for Differences Between Groups Overview Perform hypothesis testing on the differe ...
MHA-FP5017 ASSESSMENT-2 Hypothesis Testing for Differences Between Groups
Assessment 2 – Hypothesis Testing for Differences Between Groups Overview Perform hypothesis testing on the differences between two groups and create an Excel document. Write a 2–3-page analysis of the results in a Word document and insert the results into this document. Note: You are strongly encouraged to complete the assessments in this course in the order they are presented. Hypothesis testing is a foundational statistical technique used to make decisions about a hypothesis. A hypothesis test compares two mutually exclusive statements (null hypothesis, alternative hypothesis) where only one is true. Hypothesis testing can determine statistical significance by examining the probability that a given result would occur under the null hypothesis. For this assessment, you will perform hypothesis testing on the differences between two groups. By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria: Competency 1: Plan for data collection, measurement, and analysis.Generate a hypothesis about the difference between two groups in a dataset.Identify the appropriate statistical test in a dataset.Competency 2: Analyze data using computer-based programming and software.Performs appropriate statistical test of the difference between two groups in a dataset.Competency 3: Interpret results of data analysis for value-based health care decisions, policy, or practice.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test.Competency 5: Communicate audience-appropriate health management content in a logically structured and concise manner, writing clearly with correct use of grammar, punctuation, spelling, and APA style.Write clearly and concisely, using correct grammar, mechanics, and APA formatting. Resources Statistical Significance Frey, B. B. (Ed.). (2018). Significance. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Gallo, A. (2016, February 16). A refresher on statistical significance. Harvard Business Review Digital Articles, 2–9.Simpson, S. H. (2015). Creating a data analysis plan: What to consider when choosing statistics for a study. Canadian Journal of Hospital Pharmacy, 68(4), 311–317. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45522... Hypothesis Testing Frey, B. B. (Ed.). (2018). Hypothesis testing. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Hypothesis Tester.Real Statistics Using Excel. (n.d.). Null and alternative hypothesis. Retrieved from http://www.real-statistics.com/hypothesis-testing/...Elliott. E. C. (n.d.). Understanding statistical hypothesis testing. Retrieved from https://www.stattutorials.com/understanding-hypoth...Gonzalez-Chica, D. A., Bastos, J. L., Duquia, R. P., Bonamigo, R. R., & Martínez-Mesa, J. (2015). Test of association: Which one is the most appropriate for my study? Anais brasileiros de dermatología, 90(4), 523–528. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45605...Quantitative Skills Center: Interpreting Statistical Data. p Value Frey, B. B. (Ed.). (2018). p value. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Elliott, E. C. (n.d.). Interpreting statistical p-values. Retrieved from https://www.stattutorials.com/p-value-interpreting... Interpreting Results Evaluation of Analytic Results.Interpreting Results of Inferential Techniques.Matching Statistical Tests to Hypotheses. Significance Tests Orr-Depner, R. (n.d.). Learning about 2-sample t-tests with Guitar Hero | Transcript. Retrieved from https://www.sophia.org/tutorials/learning-about-2-...Scheer, A. (n.d.). The basics of significance tests | Transcript. Retrieved from https://www.sophia.org/tutorials/sec-91-the-basics...StatisticsLectures.com. (n.d.). Statistical vs practical significance. Retrieved from http://www.statisticslectures.com/topics/statistic...Tutorials for Statistical Data Analysis. (n.d.). Two sample (independent group) t-test using Mcrosoft Excel. Retrieved from https://www.stattutorials.com/EXCEL/EXCEL_TTEST1.h... Textbook Kros, J. F., & Rosenthal, D. A. (2016). Statistics for health care management and administration: Working with Excel (3rd. ed.). San Francisco, CA: Jossey-Bass. Available in the courseroom via the VitalSource Bookshelf link. Preparation Download the Assessment 2 Dataset [XLSX]. The dataset contains the following variables: clinic1 (total number of visits per month for clinic 1) .clinic2 (total number of visits per month for clinic 2). Instructions An investor needs to make a decision on whether to acquire one of two medical clinics based on their productivity, as measured by the total number of visits per month. You have been asked whether there is a significance difference in the total number of visits per month between clinic 1 and clinic 2. For this assessment, perform hypothesis testing on the differences between two groups in the Assessment 2 Dataset. Create an appropriately labeled Excel document with your results. Also write an analysis of the results in a Word document. Insert the test results into this document (copied from the output file and pasted into a Word document). Refer to Copy From Excel to Another Office Program for instructions. Submit both the Word document and the Excel file that shows the results. Grading Criteria The numbered assessment instructions outlined below correspond to the grading criteria in the Hypothesis Testing for Differences Between Groups Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed. Generate a hypothesis about the difference between two groups in a dataset.State null hypothesis and alternative hypothesis as an explanation and math equation.Identify the appropriate statistical test in a dataset.Provide your statistical rationale.Perform appropriate statistical test of the difference between two groups in a dataset.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Interpret p-value and statistical significance.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test. Additional Requirements Your assessment should meet the following requirements: Written communication: Write clearly, accurately, and professionally, incorporating sources appropriately.Length: 2–3 pagesResources: Not required.APA format: Cite your sources using current APA format.Font and font size: Times Roman, 10 point.
Express your answer as a decimal, statistics homework help
1.Let X be a standard normal random variable. Find P(X < 0). Express your answer as a decimal.2.Let X be a standard nor ...
Express your answer as a decimal, statistics homework help
1.Let X be a standard normal random variable. Find P(X < 0). Express your answer as a decimal.2.Let X be a standard normal random variable. Find P(X ≤ -2.27). Express your answer as a decimal.3.Let X be a standard normal random variable. Find P(X > 2.82). Express your answer as a decimal.4.Let X be a standard normal random variable. Find P(-1.20 < X < 1.74). Express your answer as a decimal.5.Assume that thermometer readings are normally distributed with a mean of 0 degrees Celsius and a standard deviation of 1 degree Celsius. A thermometer is randomly selected and tested. Find the temperature reading that separates the bottom 95% from the top 5%. Round your answer to the nearest thousandth6.Assume that thermometer readings are normally distributed with a mean of 0 degrees Celsius and a standard deviation of 1 degree Celsius. A thermometer is randomly selected and tested. Find the temperature reading that separates the bottom 40.9% from the top 59.1%. Round your answer to the nearest hundredth.
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can ge ...
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can get a competitive advantage. The real estate
industry heavily uses linear regression to estimate home prices, as cost
of housing is currently the largest expense for most families.
Additionally, in order to help new homeowners and home sellers with
important decisions, real estate professionals need to go beyond showing
property inventory. They need to be well versed in the relationship
between price, square footage, build year, location, and so many other
factors that can help predict the business environment and provide the
best advice to their clients.PromptYou have been recently hired as a junior analyst by D.M. Pan Real
Estate Company. The sales team has tasked you with preparing a report
that examines the relationship between the selling price of properties
and their size in square feet. You have been provided with a Real Estate County Data
document that includes properties sold nationwide in recent years. The
team has asked you to select a region, complete an initial analysis, and
provide the report to the team.Note: In the report you prepare for the sales team,
the response variable (y) should be the median listing price and the
predictor variable (x) should be the median square feet.Specifically you must address the following rubric criteria, using the Module Two Assignment Template:Generate a Representative Sample of the Data
Select a region and generate a simple random sample of 30 from the data.Report the median listing price and median square foot, report the mean, median, and standard deviation.
Analyze Your Sample
Discuss how the regional sample created is or is not reflective of the national market.
Compare and contrast your sample with the population using the National Statistics and Graphs document.
Explain how you have made sure that the sample is random.
Explain your methods to get a truly random sample.
Generate Scatterplot
Create a scatterplot of the x and y variables noted above and include a trend line and the regression equation
Observe patterns
Answer the following questions based on the scatterplot:
Define x and y. Which variable is useful for making predictions?Is there an association between x and y? Describe the association you see in the scatter plot.What do you see as the shape (linear or nonlinear)?If you had a 1,200 square foot house, based on the regression equation in the graph, what price would you choose to list at?Do you see any potential outliers in the scatterplot?
Why do you think the outliers appeared in the scatterplot you generated?What do they represent?
University of The Cumberland Inferential Statistics and Decision Making Essay
Write a Research Question on Blockchain that covers all the questions stated below covering the topics from coursework.&nb ...
University of The Cumberland Inferential Statistics and Decision Making Essay
Write a Research Question on Blockchain that covers all the questions stated below covering the topics from coursework.
Speciality Area: Blockchain
Course : Inferential statistics and Decision Making
Topics covered in course:
1. correlation and regression tests
2. t-tests
3. ANOVA
4.Chi square
5. Spearman's rs, Z test
You have completed the "Inferential statistics and Decision Making" course. It is time to apply your learning. Respond to each of the following areas in separate sections.
1. Design a research question relevant to your specialty area.
2. Describe what type of data you would gather to answer the research question.
3. Determine which statistical test would be best to answer your research question.
4. What would you determine if the results were significant, based on your research question?
HLTH501 Liberty Medical Advertising, Reseach Ethics And Terminal Scenario
Discussion Board Question Number 2A fundamental ethical problem in statistics arises in experimentation (i.e., in the cont ...
HLTH501 Liberty Medical Advertising, Reseach Ethics And Terminal Scenario
Discussion Board Question Number 2A fundamental ethical problem in statistics arises in experimentation (i.e., in the context of studies of experimental drugs for treating AIDS). On one side, organizations such as the National Institute of Health insist on randomly assigning treatments such as flipping a coin for each patient to decide which treatment to assign. The advantage of randomized experiments is that they allow reliable conclusions without the need to worry about lurking variables. However, some groups of AIDS patients have opposed randomization, instead making the argument that each patient should be assigned the best available treatment (or to be more precise, whatever treatment is currently believed to be the best). The ethical dilemma is to balance the benefits to the patients in the study (who would like the opportunity to choose among available treatments) with future patients (who would be served by learning as soon as possible about the effectiveness of the competing treatments). The issue is complicated. On one hand, the randomized study is most trustworthy if all the patients in the study participate. If they are not treated respectfully, the patients might go outside the study and try other drugs, which could bias the estimates of treatment effects. On the other hand, the patients might benefit from being in an experimental study. Even if the treatment is randomized, the patients are getting close medical attention from the researchers. Current best practice is to design studies so that all subjects will be expected to benefit in some way, but still keeping the randomized element. For example, a study can compare two potentially beneficial experimental treatments, rather than comparing a treatment to an inert “control.” However, there will always be conflicts of interest between the patients in the study, the scientists conducting it, and the public at large.In your original post, compare and contrast at least two research designs that might be used to research life threatening diseases/disorders. At least one design should present ethical issues and at least one design should minimize potential ethical issues. Provide at least one Scripture passage that supports your ethical perspectives on medical/public health research. Your thread is due by 11:59 p.m. (ET) on Thursday and your two replies are due by 11:59 p.m. (ET) on Sunday.Discussion Question Number 3Consider the following three scenarios:1.
Suppose you work for an organization that runs tests for
life-threatening diseases and then discusses the results with their
patients. You have just tested a 45 year old male patient, father of
six, and according to the test he is terminally ill. Statistics shows
that the man has seven months to live. 2.
Your 31 year old daughter, who for five years has been underemployed
and unemployed, announces she has secured a stable and high paying job
as Director of Operations for a Colorado Marijuana facility. 3.
You are working for a foreign government that has had a disease
epidemic in a certain region of their country which has led to the
deaths of three million children. The disease is spread by mosquitos,
and the only quick and sure way to stop the epidemic is to spray
Chemical H on the jungle environments where the mosquitos live. Spraying
the chemical will lead to environmental issues for 20 years. Pick
one of the above scenarios and in that context, explain how your
knowledge of biostatistics might inform how you address the situation
and how you might advance a Biblical worldview. Fell free to add details
or assumptions left ambiguous in the prompt. Your thread is due by 11:59 p.m. (ET) on Thursday and your two replies are due by 11:59 p.m. (ET) on Sunday.
Earn money selling
your Study Documents