IRP Memorandum

IRP Memorandum

SUMMARY:

In this Independent Research Project (IRP), students provide a business decision recommendation using SAS primarily and Excel as needed to obtain real-world data. The student will create and submit a business report that clearly communicates a recommendation based on their analysis of the data set that includes an analysis of different courses of action using weighted factors. The students will also create a PowerPoint presentation that summarizes their IRP and present their analysis live, via video-teleconference or as a recorded video presentation. The student will also answer questions about their presentation. Note: The IRP should involve either conducting an ANOVA or Regression Analysis using SAS and submitting the complete results including Tables, P value, Pr value, R-square, and graphics to prove you conducted the required SAS analysis. The IRP project should involve your research question findings as previously specified in your “IRP Research Questions and Data Set” exercise. You must also discuss the P, Pr, R-square values and their meaning and why they led to your decision.
As in previous DAX exercises, you must also attach the Summary Descriptive Statistics Table along with the ANOVA Results Table or Regression Results Table. Example ANOVA or Regression Tables required:
DAX ANOVA Tables Required-1.pdf
Example Regression Results Tables.pdf

DELIVERABLE:

IRP Memorandum
Attachment:

Rubric

IRP Memo Final (2)

IRP Memo Final (2)
Criteria Ratings Pts
This criterion is linked to a Learning OutcomeUse of software tools
10.0 ptsGood 8.0 ptsFair 0.0 ptsInadequate
10.0 pts
This criterion is linked to a Learning OutcomeData Display
15.0 ptsGood 12.0 ptsFair 0.0 ptsInadequate
15.0 pts
This criterion is linked to a Learning OutcomeAnalysis Procedure
25.0 ptsGood 20.0 ptsFair 0.0 ptsInadequate
25.0 pts
This criterion is linked to a Learning OutcomeData Analysis Conclusion
20.0 ptsGood 16.0 ptsFair 0.0 ptsInadequate
20.0 pts
This criterion is linked to a Learning OutcomeRecommended Actions
20.0 ptsGood 16.0 ptsFair 0.0 ptsInadequate
20.0 pts
This criterion is linked to a Learning OutcomeDecision Approach
10.0 ptsGood 8.0 ptsFair 0.0 ptsInadequate
10.0 pts

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Author Since: November 30, 2020