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Executive MBA
Fall 2006
MGMT 900 – Business Statistics
Instructor:
Office:
Phone:
Fax:
E-mail:
Web:
Office Hours:
Dave Goldsman
FMAN 1003
(216) 483-9676 (O), (537) 482-3492 (C), (212) 359-7268 (H)
(216) 483-9699
[email protected]
www.isye.gatech.edu/~sman
Before and after class, or by appointment
Course Objectives:
A critical success factor in your long-term professional life is your ability to understand,
summarize, and analyze data. The main objective of this course is to provide a
comprehensive understanding of a myriad of analytical statistical tools that can be used to
deal with data arising in business settings.
This course will help you to
 Present data in a clear and meaningful way.
 Understand performance measures such as mean and variance.
 Learn about the probabilistic models underlying data.
 Determine how different random quantities interact with each other.
 Make statistically sound conclusions based on your data.
Course Text: Basic Business Statistics, 10th Edition, by Mark L. Berenson, David M.
Levine, and Timothy C. Krehbiel (2006), Pearson Education, Inc., Upper Saddle River,
New Jersey, 07458. CD ISBN 0-13-185201-9
Course Web: www.isye.gatech.edu/~sman/courses/s900
(Note: I will soon change the site over to the usual Sabanci WebCT site.)
Instructional Design: The course will primarily be lecture-based, with a number of inclass exercises to get hands-on experience in data analysis. I will also assign a class
project during the semester – I encourage you to pick a project that you can use at your
company.
Grading:
Participation
Project + Homework
Midterm Exam
Final Exam
: 25%
: 25%
: 25%
: 25%
Requirements: Concerning class participation, I want students to ask questions and
work together on in-class exercises. I run a fairly informal class, so nobody should ever
be shy about speaking up. You are allowed to work together on the project and HW
assignments, perhaps in groups of 2 or 3 people (if you like to work alone, or if you need
a bigger group, please ask me). I would prefer not to give make-up tests, but I realize that
everyone has very busy lives. So if you know that you won’t be able to make it into
school for a test, please let me know as soon as possible, and I will certainly try to work
something out for you.
Academic Honesty:
Learning is enhanced through cooperation and as such you are encouraged to work in
groups, ask for and give help freely in all appropriate settings. At the same time, as a
matter of personal integrity, you should only represent your own work as yours. Any
work that is submitted to be evaluated in this class should be an original piece of writing,
presenting your ideas in your own words. Everything you borrow from books, articles, or
web sites (including those in the syllabus) should be properly cited. Although you are
encouraged to discuss your ideas with others (including your friends in the class), it is
important that you do not share your writing (slides, MS Excel files, reports, etc.) with
anyone. Using ideas, text and other intellectual property developed by someone else
while claiming it is your original work is plagiarism. Copying from others or providing
answers or information, written or oral, to others is cheating. Unauthorized help from
another person or having someone else write one’s paper or assignment is collusion.
Cheating, plagiarism and collusion are serious offenses that could result in an F grade and
disciplinary action. Please pay utmost attention to avoid such accusations.
Course Schedule:
Session 1:
F Sep 1
18:00-21:00
Topic: Ch1: Intro & Data Collection, Ch2: Presenting Data, Ch3:
Descriptive Measures
Requirements:
Session 2: Sa Sep 9
17:00-20:00
Topic: Ch4: Basic Probability
Requirements:
Session 3: Sa Sep 16 9:00-12:00
Topic: Ch5: Important Discrete Probability Distributions
Requirements:
Session 4: Sa Sep 16 13:00-16:00
Topic: Ch6: Important Continuous Probability Distributions
Requirements:
Session 5: Sa Sep 23 17:00-20:00
Topic: Ch7: Sampling and Sampling Distributions, Ch8: Confidence
Intervals
Requirements:
2/3
Session 6:
Sa Sep 30 9:00-12:00
Topic: Ch9: Hypothesis Testing (One-Sample), Ch10: Two-Sample
Tests
Requirements:
Session 7: Sa Sep 30 13:00-16:00
Topic: Ch11: Analysis of Variance
Requirements: Midterm Test will be given from 14:30-16:00 (Study Hard!)
Session 8: F Oct 13
18:00-21:00
Topic: Ch12: Nonparametric Tests
Requirements:
Session 9: F Nov 3
18:00-21:00
Topic: Chs 13 and 14: Regression
Requirements:
Session
Sa Nov 11 13:00-16:00
10:
Topic: Project presentations
Requirements:
3/3