Performance Assessment TASK
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Paper Type:1.2#Nursing Research Paper
Subject:Performance Assessment TASK
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Sources: 65/9/23, 4:15 PM WGU Performance Assessment
QUM2 — QUM2 TASK 2: DECISION TREE ANALYSIS
DATA-DRIVEN DECISION MAKING — C207
PRFA — QUM2
TASK OVERVIEW SUBMISSIONS EVALUATION REPORT
COMPETENCIES
3009.1.1 : The Case for Quantitative Analysis
The graduate uses decision-making methods to develop strategies for organizational decision processes.
3009.1.2 : Statistics as a Managerial Tool
The graduate uses a variety of decision-analysis tools to evaluate alternatives during the decision-making processes.
3009.1.3 : More Statistical Tools
The graduate uses quantitative techniques and statistical tools to identify the most appropriate decision alternatives.
3009.1.4 : Quality Metrics and Tools
The graduate analyzes how work is accomplished and applies quality metrics and tools to increase efficiency, effectiveness, and quality.
3009.1.5 : Real World Data-Driven Decisions
The graduate analyzes data from business intelligence and knowledge-management systems to make appropriate decisions.
3009.1.6 : Improving Organization Performance
The graduate uses appropriate data to improve organizational performance.
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INTRODUCTION
Managers are required to organize, interpret, and display data that is relevant to the real-world business decisions they must make in their businesses. Business decisions must be based on relevant and reliable data. The use of analytical tools will improve your ability to use data to make informed decisions.
In this task, you will address the business situation in the attached scenario. You will access the scenario and data set by entering your student ID number in the “Start” tab of the “Decision Tree Resources” attachment. The scenario and data set are located in the “Decision Tree Scenario” tab. Using this data set, you will perform a decision tree analysis and recommend a solution. This recommendation will be included in a report that you will write, summarizing the key details of your analysis.
For full functionality of the scenario and data attachment, you are strongly encouraged to use Microsoft Excel, which is available via the Microsoft Office 365 subscription service provided to all WGU students. It can be downloaded using the "Microsoft Office 365"link in the weblinks section.
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SCENARIO
Refer to the scenario located in the attached “Decision Tree Analysis Resources.”
REQUIREMENTS
Your submission must be your original work. No more than a combined total of 30% of the submission and no more than a 10% match to any one individual source can be directly quoted or closely paraphrased from sources, even if cited correctly. The originality report that is provided when you submit your task can be used as a guide.
You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course.
Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc., unless specified in the task requirements. All other submissions must be file types that are uploaded and submitted as attachments (e.g., .docx, .pdf, .ppt).
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Complete your decision tree analysis and create a report (suggested length of 2–4 pages or 800 words) by doing the following:
Note: You are encouraged to use the template located within the attached “Decision Tree Analysis Resources” to complete your analysis. While it is required that you use the scenario and data set located in the attachment, the use of the data analysis template is optional.
A. Describe a business question that could be answered by applying decision tree analysis and is derived from the scenario in the attached “Decision Tree Analysis Resources."
B. Identify the relevant data values required for your decision tree analysis, including the following: • probabilities
- payoffs
- profits
- demand
C. Report how you analyzed the data using decision tree analysis by doing the following: 1. Complete a decision tree diagram, including each of the following:
- state-of-nature nodes
- calculated payoffs, each expressed out to two decimal places
- expected values, each expressed out to two decimal places
Note: You can submit the completed decision tree diagram using a separate attachment or the optional template on the attached “Decision Tree Analysis Resources.”
Note: Refer to “Prepare for the Performance Assessment Task 2” in the course of study to see examples of acceptable output.
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2. Justify why decision tree analysis is the appropriate analysis technique, including relevant details from the scenario to support your justification.
D. Summarize the implications of your decision tree analysis by doing the following:
1. Explain the role of probabilities and the role of demand for each branch.
2. Explain how the expected value of each node is determined based on payoffs.
Note: Refer “Prepare for the Performance Assessment Task 2” in the course of study to see an example of an acceptable discussion of results.
3. Discuss one limitation of each of the following:
- the data elements
- the decision tree analysis
E. Recommend a course of action that addresses the business question from part A and is based on the results of your decision tree analysis.
F. Acknowledge sources, using in-text citations and references, for content that is quoted, paraphrased, or summarized.
G. Demonstrate professional communication in the content and presentation of your submission. File Restrictions
File name may contain only letters, numbers, spaces, and these symbols: ! -_. * ' ( )
File size limit: 200 MB
File types allowed: doc, docx, rtf, xls, xlsx, ppt, pptx, odt, pdf, txt, qt, mov, mpg, avi, mp3, wav, mp4, wma, flv, asf, mpeg, wmv, m4v, svg, tif, tiff, jpeg, jpg, gif, png, zip, rar, tar, 7z
RUBRIC
A:BUSINESS PROBLEM DESCRIPTION
NOT EVIDENT
A description of the business question is not provided.
B:RELEVANT DATA
NOT EVIDENT
Data values are not provided.
APPROACHING
COMPETENCE
The business question described is not relevant to the scenario, is not accurate, or is not appropri ate for decision tree analysis.
APPROACHING
COMPETENCE
The data values provided are not accurate or not relevant for
COMPETENT
The business question is accu rately described, is relevant to the scenario, and is appropriate for decision tree analysis.
COMPETENT
The relevant data values are ac curately identified for the deci-
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C1:DECISION TREE DIAGRAM
NOT EVIDENT
A decision tree diagram is not provided.
C2:ANALYSIS TECHNIQUE JUSTIFICATION
NOT EVIDENT
A justification of decision tree analysis is not provided.
D1:PROBABILITIES AND DEMAND
NOT EVIDENT
An explanation of the role of probabilities and demand is not provided.
D2:EXPECTED VALUES
NOT EVIDENT
An explanation of how the ex pected value is determined for each node is not provided.
the decision tree analysis, or 1 or more of the given elements are not included.
APPROACHING
COMPETENCE
The decision tree diagram pro vided does not contain 1 or more of the given elements, or the decision tree diagram con tains 1 or more inaccuracies.
APPROACHING
COMPETENCE
The justification of decision tree analysis does not logically ex plain why it is the appropriate analysis technique, or the justifi cation is not supported with rel evant details from the scenario.
APPROACHING
COMPETENCE
The explanation does not logi cally address both the role of probabilities and the role of de mand for 1 or more of the branches of the decision tree analysis.
APPROACHING
COMPETENCE
The explanation does not logi cally and accurately address 1 or more steps required to deter
sion tree analysis, including each of the given elements.
COMPETENT
The decision tree diagram accu rately includes each of the given elements.
COMPETENT
The justification of decision tree analysis logically explains why it is the appropriate analysis tech nique and is supported with rele vant details from the scenario.
COMPETENT
The explanation logically ad dresses both the role of probabil ities and the role of demand for each branch of the decision tree analysis.
COMPETENT
The explanation logically and ac curately addresses each step re quired to determine the ex pected value of each node based on payoffs.
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D3:LIMITATIONS
NOT EVIDENT
A discussion of 1 limitation of the data elements and 1 limita tion of the decision tree analysis is not provided.
E:RECOMMEND COURSE OF ACTION
NOT EVIDENT
A recommended course of ac tion is not provided.
F:SOURCES
NOT EVIDENT
The submission does not include both in-text citations and a ref erence list for sources that are quoted, paraphrased, or
summarized.
G:PROFESSIONAL COMMUNICATION
NOT EVIDENT
Content is unstructured, is dis jointed, or contains pervasive errors in mechanics, usage, or
grammar. Vocabulary or tone is unprofessional or distracts from the topic.
mine the value of 1 or more nodes based on payoffs.
APPROACHING
COMPETENCE
The discussion addresses 1 limi tation of the data elements and 1 limitation of the decision tree analysis, but 1 or both of the lim
itations provided are not logical.
APPROACHING
COMPETENCE
The recommended course of ac tion is not logically supported by the results of the decision tree analysis or does not appropri ately address the business ques tion from part A.
APPROACHING
COMPETENCE
The submission includes in-text citations for sources that are quoted, paraphrased, or summa rized and a reference list; how ever, the citations or reference list is incomplete or inaccurate.
APPROACHING
COMPETENCE
Content is poorly organized, is difficult to follow, or contains er rors in mechanics, usage, or grammar that cause confusion.
COMPETENT
The discussion logically ad dresses 1 limitation of the data elements and 1 limitation of the decision tree analysis.
COMPETENT
The recommended course of ac tion is logically supported by the results of the decision tree analy sis and appropriately addresses the business question from part A.
COMPETENT
The submission includes in-text citations for sources that are properly quoted, paraphrased, or summarized and a reference list that accurately identifies the au thor, date, title, and source loca tion as available.
COMPETENT
Content reflects attention to de tail, is organized, and focuses on the main ideas as prescribed in the task or chosen by the candi date. Terminology is pertinent, is used correctly, and effectively
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WEB LINKS
Microsoft Office 365
Terminology is misused or ineffective.
conveys the intended meaning. Mechanics, usage, and grammar promote accurate interpretation and understanding.
SUPPORTING DOCUMENTS Decision Tree Analysis Resources.xlsx
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