*ATTACHED IS THE STATISTICAL INFORMATION NEEDED TO COMPLETE THIS ASSIGNMENT* Pre

*ATTACHED IS THE STATISTICAL INFORMATION NEEDED TO COMPLETE THIS ASSIGNMENT*
Presenting Statistical Results for Decision Making
Introduction
The ability to translate analytic results into clear, concise, and actionable results is a vital skill for health care administrators. Because decision making is increasingly data-driven and evidence-based, managers are frequently required to formally present statistical results to leadership. Sometimes, decision makers differ as to how well they comprehend the information being delivered. Your job as a health care professional is to know how to distill and synthesize data analytics and present complex concepts in the pursuit of value, quality, and safety. You must be able to clearly communicate the results of your team’s data analysis and it should be both insightful and informative. How much your work is valued can depend heavily on how well the results of that analysis are articulated. Effectively communicating the results so the issues and recommendations are clear and explicit can greatly enhance the value of your analytic work.
For this assignment, you will evaluate the approach of an analytics team and interpret and present statistical results to support a health care recommendation.
Preparation
Review the Vila Health: Presenting Statistical Results for Decision Making simulation to evaluate, interpret, and present statistical results to support a health care recommendation.
Instructions
This assignment has two deliverables:
Prepare an 8–10-slide PowerPoint presentation about the statistical results with recommendations to health system leadership.
Ensure the slides graphically communicate the findings. (Use speaker notes on each slide)
Ensure your presentation is relevant to and easily understood by everyone in the audience.
Include an APA-formatted references slide at the end of the presentation.
Be sure your written communication is free of errors that detract from the overall message.
Write a 2–4-page executive summary to accompany the PowerPoint presentation that provides additional context to the results of data analysis.
Include APA-formatted in-text citations where appropriate
Grading Criteria
The numbered assignment instructions outlined below correspond to the grading criteria in the scoring guide. Presenting Statistical Results for Decision Making 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.
Evaluate the data collection, measurement, and analysis tools and techniques used in the data analysis.
Interpret statistical results used in the data analysis.
Present statistical results used in the data analysis to support a health care recommendation.
Recommend a solution based on results of the data analysis.
Use media and technology to convey ideas and information.
Write clearly and concisely, using correct grammar, mechanics, and APA formatting.
Additional Requirements
Your executive summary should also meet the following requirements:
Written communication: Write clearly, accurately, and professionally, incorporating sources appropriately.
Length: 2–4 pages.
Resources: Include sources where appropriate within the template, adding reference list on the last page.
APA format: Cite your sources using current APA format.
Font and font size: Times Roman, 12 point
USE THESE REFERENCES:
Berinato, S. (2019). Data science and the art of persuasion. Harvard Business Review, 97(1), 126–137.
Davenport, T. H. (2015, October 21). 5 essential principles for understanding analytics. Harvard Business Review Digital Articles, 2–4.
Davenport, T. H. (2013, June 18). Data is worthless if you don’t communicate it. Harvard Business Review Digital Articles, 2–3.
Li, M. (2015, October 27). The two questions you need to ask your data analysts. Harvard Business Review Digital Articles, 2–4.
Martin, R. L., & Golsby-Smith, T. (2017). Management is much more than a science: The limits of data-driven decision making. Harvard Business Review, 95(5), 128–135.
Strome, T. L. (2013). Usability and presentation of information. In Healthcare analytics for quality and performance improvement (pp. 165–181). Hoboken, NJ: John Wiley & Sons.