OMGT 6123 - Fall 2026, Sections 601 and 602
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Instructor: Dr. John F. Kros |
Phone: 328-6364 |
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Office: 3205 Bate Building |
Email: krosj@ecu.edu |
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Office Hours: 12:30 pm - 2:15
pm TWTh or by Appointment |
Webpage: http://myweb.ecu.edu/krosj/ecu.html |
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Custom Text for Quantitative Methods, Kros, Kendall/Hunt Order
the eBook of the text directly from KendallHunt: https://he.kendallhunt.com/product/custom-spreadsheet-modeling-business-decisions or
obtain from ECU Bookstore, UBE, etc. |
Text
Website: Website
for Custom Text for Quantitative Methods.
Contains Excel Templates, STUDY GUIDE,
interactive models, etc. You need to use the code that
accompanies the textbook to access the site. If you procure a
used hard copy text you will not have access to the Online Text
Materials.
Course Description and Goals:
Catalog Description - Basic quantitative concepts
and their applications to decision models (Prerequisite:
Admission to MBA program).
This course engages diverse opinions & scholarly perspectives to develop critical thinking, analysis, & discussion as well as these tenets:
Think Critically
Apply the DECIDE framework to develop
an understanding of quantitative methods. Terminology and
quantitative models are introduced.
Value
Utilize the EDGE perspective to survey
basic quantitative methods and their application to business.
Communicate
Compose written analysis that defend
recommendations and solutions within the context of quantitative
methods.
back
Assignments:
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Homework - 5 @ 5% .................................................................................................25.0% |
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Quizzes 5 @ 14% per.................................................................................................70.0% |
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Final Exam - Opens 5 pm, Dec 2nd & closes11:59 (midnight) pm, Dec 7th...............5.0% |
PLEASE USE THE FOLLOWING NAMING CONVENTION
WHEN SAVING AND SUBMITTING COMPLETED ASSIGNMENT FILES:
lastnamefirstinitialassignment.suffix
For example, for myself I would name my
first homework assignment file:
krosjhomework#1.doc
Be forewarned, I will either send your assignments back to you ungraded or downgrade your work if you do not follow this naming convention.
Homework problems are required to be completed
and will make up the 25% of the course grade allocated above.
There may be a paired portion of the homework and an
individual portion of the homework on some homework
assignments. Unless the homework specifically states there
is a paired portion of the assignment you can assume there is
none. Homework can not be made up.
The quizzes will cover material from the text and my lectures. The problems on the quizzes will be similar to the homework problems. Missed quizzes will receive a zero grade. Please make prior arrangements if a quiz will be missed.
Final grades will be assigned by letter and will
be derived approximately from the grading percentages shown
above roughly following the standard four point A, B, C, F
scale. Roughly the following grade cut-offs will be used:
3.51 and above = A, 2.7 up to 3.51 = B, 1.7 up to 2.7 = C,
below 1.7 = F.
Percentage
scores will not be assigned. I will assign grades on
individual assignments according to a +/- scale (A = 4.0,
A-=3.7, B+=3.3, B = 3.0, B-=2.7, C+=2.3, C = 2.0, C-=1.7, F =
0.0). Percentage scores
WILL NOT be assigned.
COB
PROCTOR POLICY
While I am including the following info, F2F proctoring is not
required for this semester. I will not be requiring
proctored assignments for this semester.
Many of the
online courses you enroll in may require a proctor. A
proctor is someone who is approved to administer examinations or
other course material on behalf of the course instructor.
The purpose of the proctor is to assure the integrity of the
examination process. The university academic integrity
policy may be reviewed at
http://www.ecu.edu/studenthandbook/III.htm.
Attendance: I will not be taking
attendance, but I will be posting and updating video tutorials
throughout the semester. It would behoove everyone to
view those video tutorials.
Continuity of Instruction: In the event that classes are suspended due to a pandemic or other catastrophe I will strive to continue instruction to those that are able to participate. If and when classes are suspended, you will receive an email from me and an announcement that detail how we will communicate, where you can locate course information and what you can expect during this time period. I will continue to provide instruction to those that are able to continue.
Suggestions: To do well in this class the following hints might help.
1. Do the homework - correct or incorrect, I will do my best to reward your effort if possible.
2. Work with others - feel free to discuss problems and methodology on homeworks*.
3. Ask the
instructor for help. If you do not understand or are
confused about an assignment or feedback I give, call, email, or
stop by to discuss those issues, early and often as needed.
* Quizzes are individual assignments and are expected to be completed without collaboration or discussion with any other student.
About the Instructor: John F. Kros has a bachelors degree in business from The University of Texas, an MBA from Santa Clara University, and a Ph.D. in Systems Engineering from The University of Virginia. He spends his free time traveling, snow skiing, watching college football, and trying to locate establishments that sell cheap liquid refreshment.
East Carolina University seeks to comply fully with the Americans with Disabilities Act (ADA). Students requesting accommodations based on a disability must be registered with the Department for Disability Support Services located in Mendenhall, Suite 109, (252) 737-1016 (Voice/TTY).
TAKE NOTE: Bold Items Indicate Dates When Assignments are Posted or When they are DUE
(e.g., 8/24 is in bold yellow as it is the due date for HW 1)
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Chapter in Textbook |
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1 |
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3 |
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Descriptive & Numerical Statistics II - Lecture Descriptive & Numerical Statistics - Example Problem SetDescriptive & Numerical Statistics - Example Solution Narrative |
3 |
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Descriptive
& Numerical Statistics I Descriptive
& Numerical Statistics II
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HW#1 - All Parts Due by
12 midnight; submit files to Canvas in the
appropriate Assignment area HW#1 Partial Solutions -
XLSX File
Posted After Due Date
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3 |
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Quiz #1 - Descriptive & Numerical Statistics
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3
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Probability Example I
- Bayes Rule Tutorial Probability
Example II - Probability Tree and Bayes' Rule
Tutorial Probability Example III - Probability Tree and Bayes' Rule Example II
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3 & 3A |
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Statistics & Probability - Lecture Statistics & Probability - Example II Statistics & Probability - Example Solution II Narrative HW#2 Due HW#2 Partial Solutions
- XLSX File
Posted After Due Date
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3 & 3A
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11 |
Quiz #2 - Statistics & Probability |
Quiz #2 Review Narrative |
3 & 3A
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14 |
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3 & 3A |
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Confidence Intervals
- Lecture I |
3 & 3A |
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21 |
Confidence Intervals
- Lecture II Confidence Intervals
- Example II |
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28 |
Quiz #3 - Confidence Intervals &
Inference |
Quiz #3 Review Narrative |
3 & 3A |
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Fall
Break |
Fall
Break |
Fall
Break |
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Sample Size Determination Hypothesis Testing I |
Sample Size
Determination Lecture
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Hypothesis Testing Z tests - Example |
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3 & 3A |
23 |
Hypothesis Testing |
HW #4 Due Hypothesis Testing |
3 & 3A |
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Hypothesis Testing
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Quiz
#4 - Sample Size Determination & Hypothesis
Testing
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9 |
Forecasting Lecture I Forecasting Lecture II - Error Measurement Forecasting Example I |
7 Naive Forecasting Video
Tutorial |
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Linear Regression
Example |
6
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Forecasting and Linear
Regression |
Review |
6 & 7 |
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Quiz
#5 - Forecasting and Linear Regression Final Exam will be posted in Canvas by 5 pm on Dec 2nd & will be due by 12 midnight Dec 7th |
Please peruse
the Final Exam Review |
6 & 7
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Final Exam Due by 12 midnight Dec 7th |
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