Instruction for project deliverable 2
Deliverable 2 is the final project submission. For this deliverable, your starting point is the
analysis dataset from Deliverable 1. Based on the question you have outlined for your dataset,
you should work with your partner to select an analytical methodology to solve that problem.
You should choose a methodology that is covered in the course. If you intend to use some other
methodology, you must first obtain permission from the instructor or facilitator.
In some cases, your instructor or facilitator may have offered additional ideas about data
cleaning as part of the feedback to your Midterm submission. You should fix those additional
issues as part of this assignment.
Modeling is an iterative exercise, and it is possible that you will learn some things during this
assignment that will suggest further data processing. If you do take these steps, you should
indicate the additional work you have undertaken in your write-up (the appropriate place for this
will be in the Appendix).
The Final deliverable should be 3 to 5 pages of text, plus an Appendix that includes any R output
to support your conclusions. The write-up should be in PDF/Word/slides format. The write-up
should address the following questions, in this prescribed order:
1. What is the recommended action and how do you expect the action to affect business or
organizational goals?
2. What are the conclusions of your data analysis that support your recommendation?
3. What is the basic concept of the methodology you selected for the analysis, and what are
its strengths and weaknesses?
Remember: the audience for your write-up are business managers. You should focus on business
issues. Technical details can be discussed in the Appendix, if you so wish.
You must submit to this assignment page by the due date and time listed on the top of this
page. You should upload all your files to Canvas. Emails will not be accepted.
** Important: here are formatting guidelines you should follow, which should be standard in a
workplace.
1. You must include both of your names on the first page of your write-up, as well as in the name
of the file you upload.
2. Include page numbers
3. Make sure you explain any acronyms or industry jargon. Remember that your
instructor/facilitator may not know much about the context of your dataset.
4. If you are including images of data, make sure the font size is humanly readable.
APANPS5200 Deliverable #2 Rubric
APANPS5200 Deliverable #2 Rubric
Criteria Ratings Pts
This criterion is linked to a Learning Outcome You provided a good
recommendation that addresses the question outlined in the project proposal.
You provided a good recommendation that addresses the question outlined in the
project proposal, or, assuming that your dataset does not provide a satisfactory
answer, you provided a reasonable recommendation, with a discussion of what
next steps could be taken to improve the analysis.
10.0
pts
This criterion is linked to a Learning Outcome You selected an appropriate
methodology for the question and data, based on both technical and non-technical
considerations.
10.0
pts
This criterion is linked to a Learning Outcome You demonstrated your knowledge
of R tools to implement the analytical methodology you selected.
10.0
pts
This criterion is linked to a Learning Outcome You properly interpreted the results
of your analysis, drawing reasonable conclusions.
10.0
pts
This criterion is linked to a Learning Outcome When/If you encountered
unexpected results in the planned analysis, you showed awareness of the problem,
and rectified the situation, such as by fixing new data issues, or changing your
methodology.
10.0
pts
This criterion is linked to a Learning Outcome Your write-up is concise and
persuasive, and suitable for an audience of business managers.
10.0
pts