Business Modeling
Prepared by:
Date: June 6,2014
Nova Southeastern University
H. Wayne Huizenga School of Business & Entrepreneurship Assignment for Course:
QNT5040
Submitted to:
Dr. Yurova
Submitted by:
Date of Submission: June 6, 2014
Title of Assignment: Auto Parts Sales Forecast
CERTIFICATION OF AUTHORSHIP: I certify that I am the author of this paper and that any assistance I received in its preparation is fully acknowledged and disclosed in the paper. I have also cited any sources from which I used data, ideas or words, either quoted directly or paraphrased. I also certify that this paper was prepared by me specifically for this course.
Student's Signature: _______ _______________________
*****************************************************************
Instructor's Grade on Assignment:
Instructor's Comments:
TITLE OF RUBRIC: Auto Parts Sales Forecast
Course: QNT 5040
LEARNING OUTCOME/S: (see syllabus)
Date: June 6, 2014
PURPOSE: To facilitate effective decision making under uncertain conditions by quantifying risk.
Name of Student:
VALIDITY: Best practices in Forecasting
Name of Faculty: Dr. Yurova
COMPANION DOCUMENTS: Email sent separately
Earning maximum points in each box in ‘PROFICIENT’ column and / or points in columns to the right of ‘PROFICIENT’ meets standard.
>
Performance Criteria
Basic
Developing
Proficient
Accomplished
Exemplary
Score
Identify the problem
Does not identify the problem, or does not identify the right problem.
(0 pts)
Identifies symptoms
(5 pts)
Identifies some elements of the problem.
(10 pts)
Substantially
identifies the problem.
(12 pt)
Effectively and succinctly identifies the problem.
(15 pts)
Describes assumptions and methods
Does not describe assumptions and methods used
(0 pts)
Does not precisely describe the assumptions and methods used
Date: June 6,2014
Nova Southeastern University
H. Wayne Huizenga School of Business & Entrepreneurship Assignment for Course:
QNT5040
Submitted to:
Dr. Yurova
Submitted by:
Date of Submission: June 6, 2014
Title of Assignment: Auto Parts Sales Forecast
CERTIFICATION OF AUTHORSHIP: I certify that I am the author of this paper and that any assistance I received in its preparation is fully acknowledged and disclosed in the paper. I have also cited any sources from which I used data, ideas or words, either quoted directly or paraphrased. I also certify that this paper was prepared by me specifically for this course.
Student's Signature: _______ _______________________
*****************************************************************
Instructor's Grade on Assignment:
Instructor's Comments:
TITLE OF RUBRIC: Auto Parts Sales Forecast
Course: QNT 5040
LEARNING OUTCOME/S: (see syllabus)
Date: June 6, 2014
PURPOSE: To facilitate effective decision making under uncertain conditions by quantifying risk.
Name of Student:
VALIDITY: Best practices in Forecasting
Name of Faculty: Dr. Yurova
COMPANION DOCUMENTS: Email sent separately
Earning maximum points in each box in ‘PROFICIENT’ column and / or points in columns to the right of ‘PROFICIENT’ meets standard.
>
Performance Criteria
Basic
Developing
Proficient
Accomplished
Exemplary
Score
Identify the problem
Does not identify the problem, or does not identify the right problem.
(0 pts)
Identifies symptoms
(5 pts)
Identifies some elements of the problem.
(10 pts)
Substantially
identifies the problem.
(12 pt)
Effectively and succinctly identifies the problem.
(15 pts)
Describes assumptions and methods
Does not describe assumptions and methods used
(0 pts)
Does not precisely describe the assumptions and methods used
Bibliography: Poane, D., & Seward, L. E. (2013). Business Modeling Customized Readings for QNT5040. : Mc Graw Hill Education. Microsoft Office Excel. (2007). Redmond, WA: Microsoft Corporation. Albright, Winston & Zappe (2010). Business Modeling, Selections from 4e – QNT 5040 (4th ed.). Mason: Cengage Learning. Aczel,A & Sounderpandian,J (2009). Complete Business Statistics 7th edition (592). : Mc Graw Hill Education. U.S. Automotive Parts Industry Annual Assessment. (2009, April 1). . Retrieved June 6, 2014, from http://trade.gov/mas/manufacturing/OAAI/build/groups/public/@tg_oaai/documents/webcontent/tg_oaai_003759.pdf