Analyze data in order to help researchers

Assignment Help Advanced Statistics
Reference no: EM131940487

Final Project Part

Overview

Now that you have submitted Part I of the final project (the article review), you will submit Part II, which is the creation of a statistical report. Part I (article review) was an opportunity to demonstrate your ability to interpret statistics included in an article. This second part of the final project is a chance to show that you know how to do basic calculations.

Regardless of their field of interest, health professionals across disciplines need to be able to run basic biostatistical calculations to describe a set of data.

Part II reinforces these critical skills by asking you to conduct your own analysis of a small data set, explain the basic parameters of the data, graph it, and run simple tests. You will present this data analysis in a brief statistical report, using language appropriate to a non-technical audience.

Part II of the final project consists of four milestones, submitted in Modules Two, Three, Five, and Seven. The final submission occurs in Module Nine.

In this assignment, you will demonstrate your mastery of the following course outcomes:

- Perform basic, context-appropriate statistical calculations and hypothesis testing in accurately analyzing biostatistical data
- Interpret key biostatistical metrics, methods, and data for addressing population-based health problems
- Communicate biostatistical results, procedures, and analysis to other health professionals and the general public for informing their decisions related to population-based health problems

Prompt

Biostatisticians are constantly called upon to analyze data in order to help researchers and health officials answer critical questions about populations' health. For this assessment, you will imagine you are a biostatistical consultant on a small study for a local health organization. You have been given the data set provided, along with some background information on how and when the data was collected and the general research question the organization is interested in answering. This is often the way you will receive data in the real world.

Your task is to help the organization answer their question by critically analyzing the data. You will run statistical tests, interpret the results, and present the results and recommendations to non-technical decision makers in the form of a statistical report. Keep in mind that it is your job to do this from a statistical standpoint. Be sure to justify your conclusions and recommendations with appropriate statistical support.

Specifically, you must address the critical elements listed below. Most of the critical elements align with a particular course outcome (shown in brackets).

I. Introduction

A. State the overall health question you have been asked to address in your own words. Be sure you capture the key elements of the question, using language that a non-technical audience can understand.

B. Assess the collected data. Use this section to layout the source, parameters, and any limitations of your data. Specifically, you should:

1. Describe the key features of your data set. Be sure to assess how these features affect your analysis.

2. Analyze the limitations of the data set you were provided and how those limitations might affect your findings. Justify your response.

C. Process: Propose how you will go about answering the health question you were asked to address based on the data set provided.

II. Data Analysis

A. Graphs: In this section, you will use graphical displays to examine the data and formulate an initial hypothesis. In particular, you should:

1. Create key graphical displays that give a sense of potential relationships between variables. Include the graphs and discuss why you selected these graphical displays as opposed to others.

B. Conduct appropriate hypothesis tests, simple regressions, and other tests to analyze the data set.

C. Explain why these tests are the best choice in this context and how they compare with established best practices.

D. Analysis of Biostatistics: Use this section to describe your findings from a statistical standpoint. Be sure to:

1. Present key biostatistics from the graphs, tests, and regressions performed, and explain what they mean. Be sure to include a spreadsheet showing your work as an appendix.

2. What statistical inferences or conclusions can you draw based on the hypothesis tests and simple regression analyses performed? Justify your response.

III. Conclusions and Recommendations

A. How do the findings help answer your overall health question? Remember to use brief, non-technical language to ensure audience understanding.

B. Recommend areas for further research based on your findings. Remember to use brief, non-technical language to ensure audience understanding.

Milestones

Milestone One: Select Health Question

In Module Two, you will identify the health question you will be researching for instructor feedback and approval. Milestone One should be several sentences in length. This milestone is graded with the Milestone One Rubric.

Milestone Two: Describe the Data
In Module Three, you will describe the key features of the data set, including limitations that might exist. Milestone Two should be one or two paragraphs in length. This milestone is graded with the Milestone Two Rubric.

Milestone Three: Process and Calculations
In Module Five, you will create a table in which you propose the calculations and graphs you will need to perform to answer the health question you are investigating. Then you will complete the table. For Milestone Three, you will submit this completed table. This milestone is graded with the Milestone Three Rubric.

Milestone Four: Data Analysis
In Module Seven, you will submit the data analysis section of Final Project Part II. This section includes the graphs and more complicated inference tests you conducted on the data set to answer the health question.

Attachment:- Statistical report data set.xls

Verified Expert

This task deals with a brief description about the relationship between gender and length of stay and also the relationship between the age and length of stay. The study findings indicates that the mean length of stay for female patients is high when compared to that of male counterparts, but statistical insignificant

Reference no: EM131940487

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Reviews

len1940487

4/13/2018 4:33:54 AM

Articulation of Response Submission is free of errors related to citations, grammar, spelling, syntax, and organization and is presented in a professional and easy to read format Submission has no major errors related to citations, grammar, spelling, syntax, or organization Submission has major errors related to citations, grammar, spelling, syntax, or organization that negatively impact readability and articulation of main ideas Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas 5 Total 100%

len1940487

4/13/2018 4:33:47 AM

Conclusions: Findings [IHP-525-05] Meets “Proficient” criteria and demonstrates a complex grasp of elements necessary to answer the overall health question Assesses how findings help answer overall health question, using brief non-technical language Assesses how findings help answer overall question, but does not use brief, non-technical language, or response contains inaccuracies Does not assess how findings help answer overall health question 8 Conclusions: Recommendations [IHP-525-05] Meets “Proficient” criteria and recommendations including what additional information would help better answer question Recommends areas for further research based on findings, using brief, non-technical language Recommends areas for further research based on findings, including additional information to better answer question, but does not use brief, non-technical language, recommendations are illogical, or response contains inaccuracies Does not recommend areas for further research based on findings, including additional information that would help better answer question 8

len1940487

4/13/2018 4:33:21 AM

Data Analysis: Analysis: Biostatistics [IHP-525-03] Meets “Proficient” criteria and explanation effectively communicates meaning of the calculations in audience- appropriate language Presents key biostatistics from graphs, tests, and regressions performed, including spreadsheet showing work, and accurately explains what chosen calculations mean Presents key biostatistics from graphs, tests, and regressions performed, including spreadsheet showing work, and explains what they mean, but response contains inaccuracies or omits key details Does not present key biostatistics performed, including spreadsheet showing work, and does not explain what these calculations mean 9 Data Analysis: Analysis: Statistical Inferences [IHP-525-03] Meets “Proficient” criteria and thoroughly explains how these statistics define the population Draws appropriate statistical inferences based on hypothesis tests and simple regression analyses performed and justifies response Draws appropriate statistical inferences based on tests and regressions, but does not justify response, justification is illogical, or response contains inaccuracies

len1940487

4/13/2018 4:33:06 AM

Data Analysis: Tests [IHP-525-02] Meets “Proficient” criteria and demonstrates an astute ability to accurately and effectively conduct tests Conducts appropriate hypothesis tests, simple regressions, and other tests to analyze the data set Conducts hypothesis tests, simple regressions, and other tests to analyze the data set, but response contains inaccuracies or not all tests conducted are appropriate Does not conduct appropriate hypothesis tests, simple regressions, and other tests to analyze the data set 9 Data Analysis: Best Choice [IHP-525-02] Meets “Proficient” criteria and makes cogent connections between the tests and established best practices Explains why tests are appropriate in this context and how they compare with established best practices Explains why tests are appropriate in this context and how they compare with established best practices, but explanation is cursory or contains inaccuracies Does not explain why tests are appropriate in this context and how they compare with established best practices 9

len1940487

4/13/2018 4:32:59 AM

Data Analysis: Graphs: Displays [IHP-525-02] Meets “Proficient” criteria and graphs incorporate appropriate scaling and are exceptionally well tailored to the intended audience Creates key graphical displays that give a sense of potential relationships between variables and discusses why these graphs were selected over others Creates key graphical displays that give a sense of potential relationships between variables and discusses why these graphs were selected over others, but graphs are inappropriate, reasons are illogical, or response contains inaccuracies Does not create key graphical displays that give a sense of potential relationships between variables and does not discuss why these graphs were selected over others 9

len1940487

4/13/2018 4:32:52 AM

Introduction: Data: Limitations [IHP-525-05] Meets “Proficient” criteria and justification provides keen insight into how data quality affects findings Analyzes limitations of data set provided and how those affect findings, justifying response Analyzes limitations of data set and how those affect findings, but does not justify response, response contains inaccuracies, or justification is illogical Does not analyze limitations of data set and how those affect findings 8 Introduction: Process [IHP-525-02] Meets “Proficient” criteria and process proposed is well- aligned with health question, taking most direct path to answer Proposes process of answering health question based on the data set provided Proposes process of answering health question based on data set, but response contains inaccuracies, omits key procedures, or procedures suggested are inappropriate Does not propose process of answering health question based on data set 9

len1940487

4/13/2018 4:32:43 AM

Critical Elements Exemplary Proficient Needs Improvement Not Evident Value Introduction: Health Question [IHP-525-05] States overall health question in own words, capturing key elements of question while using language appropriate for a non-technical audience States overall health question in own words, but response contains inaccuracies, omits key details, or does not use language appropriate for a non-technical audience Does not state overall health question in own words 8 Introduction: Data: Key Features [IHP- 525-03] Meets “Proficient” criteria and demonstrates a sophisticated awareness of the features’ influence Describes key features of data set and assesses how features affect analysis Describes key features of data set and assesses how features affect analysis, but response contains inaccuracies or omits key details Does not describe key features of data set and assess how features affect analysis 9

len1940487

4/13/2018 4:32:35 AM

Deliverables Milestone Deliverable Module Due Grading One Select Health Question Two Graded separately; Milestone One Rubric Two Describe the Data Three Graded separately; Milestone Two Rubric Three Process and Calculations Five Graded separately; Milestone Three Rubric Four Data Analysis Seven Graded separately; Milestone Four Rubric Final Project Part II Submission: Statistical Report Nine Graded separately; Final Project Part II Rubric Final Project Part II Rubric Guidelines for Submission: Your statistical report should be approximately 3–5 pages long (including graphs or spreadsheet with calculations), double-spaced, 12-point Times New Roman font, with one-inch margins and citations in APA format. Be sure to use language and a style appropriate for a non-technical audience.

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