QNT351 University of Phoenix Week 3 Business Decision Making Program Project

Resource: Business Decision-Making Project – Part 3 Grading Guide (attached)About Your Signature Assignment
This signature assignment is designed to align with specific program student learning outcome(s) in your program. Program Student Learning Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignment may be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements.
Purpose of Assignment
The purpose of this assignment is for students to complete the study they started in Week 3. In this part, students will incorporate all the instructor feedback from Weeks 3 and 4 Business Decision-Making Projects, Parts 1 and 2, and use the inferential statistics concepts learned in Weeks 4 and 5 to complete the assignment. This signature assignment will help students experience the essential elements of a basic statistical study used in business organizations.
Assignment Steps (Presentation and Paper)
Resources: Microsoft® PowerPoint® and Student Resources Guide
Presentation:
Prepare (about) a 12-slide Microsoft® PowerPoint® presentation for the senior management team based on the business problem or opportunity you described in Weeks 3 and 4.
Include on the slides what you would want the audience to see (include appropriate visual aids/layout). In the speaker notes section, include what you would say as you present each slide. If any source material is quoted or paraphrased in the presentation, use APA citations and references. References would be on the final slide.
Draw on material you developed in the Week 3 and 4 assignments.
Include the following in your presentation:
Title slide.
Agenda slide.
Describe the organization, with a brief description.
Explain the business problem or opportunity.
Analyze why the business problem is important.
Identify what variable would be best to measure for this problem and explain why. Is this variable quantitative or qualitative?
Apply data analysis techniques to this problem (tell which techniques should be used: descriptive stats, probability and explain why.
Apply data analysis techniques to this problem (tell which techniques should be used: inferential stats and explain why.
Apply a possible solution to the problem/opportunity, with rationale.
Evaluate how data could be used to measure the implementation of such a solution.
Provide applicable graphics (though the graphic will illustrate mock data)
Conclusion.
References slide (if any source material is quoted or paraphrased throughout the presentation).
Paper:
Continue from Week 4 with the following:
Correct Week 4 paper using instructor feedback.
Apply data analysis techniques to this problem (tell which techniques should be used: inferential stats and explain why.
Apply a possible solution to the problem/opportunity, with rationale.
Evaluate how data could be used to measure the implementation of such a solution.
Provide applicable graphics (though the graphic will illustrate mock data)
Conclusion.
Format your paper consistent with APA guidelines.

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Attachments
20190528195624week_3_business_decision (23 kB)
20190528195634week_4_business_decision___part_2 (14 kB)
20190528195722qnt351_r6_wk5_grading_guide_signature_assignment_business_decision_making_project_part_3_a (97 kB)