EMBA Program
GEORGE
MASON UNIVERSITY
School of Management
Syllabus
- Fall 2001
EMBA 633: Managerial
Statistics
Instructor:
Prof. Sid Das
Office:
Room 152, Enterprise Hall
Phone:
(703)
993-1790
E-mail:
sdas@som.gmu.edu
Prerequisites:
Admission
to the MBA program and College Mathematics
Textbook:
Statistics for Business and Economics,
8th edition, by David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams,
South-Western, 2002.
Computer Software:
Microsoft Excel for Windows
URL for Course Website:
http://www.som.gmu.edu/emba/Managerial-Statistics.nsf
Course
Objectives:
The main
objectives of this course are to provide the student with the ability to:
1. Understand and apply
statistical techniques in describing and presenting data;
2. Apply statistical
analysis for inference and prediction;
3. Understand and detect
flaws in statistical reports and analysis;
4. Identify statistical
tools for specific managerial applications
5. Use the computer to
perform statistical analysis.
Grading
Scheme:
Exam 1
30%
Exam 2
30%
Assignments 40%
_____
Total
100%
Exams:
The two exams will be "take-home" exams.
All exams are to be solved individually with no assistance from anyone.
Assignments/Case
Analysis:
There will be home assignments and mini-case studies assigned in every
class period. They will be collected in the next class period.
Students are expected to solve all assigned problems and case studies,
which will be collected and graded. Both class assignments and case analyses are
an important component of the learning process, and each assignment/case must be
turned in no later than its due date. Individual
assignments are to be solved individually with no assistance from anyone.
EMBA Program
EMBA 633: Managerial
Statistics
Course Schedule: Fall - 2001
Dates
Topics
Chapters
9/07
Introduction to course
1
Descriptive Statistics:
Tabular
and Graphical Approaches
2
Using
Microsoft Excel
(Read: Chapter 1, all sections; Chapter 2, Sections 2.1, 2.2, and
2.4).
Measures
of Location
3
(Read:
Chapter 3, Sections 3.1)
Group Assignment: Case - Consolidated Foods (pp. 58-59),
Due Date (9/15)
9/15 Descriptive Statistics: 3
Measures of Variability
Measures
of Relative Location
Exploratory
Data Analysis
z-scores,
Chebyshev’s Theorem
Empirical
Rule
(Read:
Chapter 3, Sections 3.2, 3.3 and 3.4)
Group Assignment:
Case – National Health Care Association (pp. 124-125),
(Please
address questions 1, 2, and 3 only) Due Date (9/21)
9/21
Brief Introduction to Probability
4
Random
Variables
5
Discrete
Probability Distributions
Binomial
Probability Distributions
Expected
Value and Variance
(Read: Chapter 4, Sections 4.1; Chapter 5, Sections 5.1, thru 5.4)
Individual Assignment:
To be assigned in class, Due Date (9/29)
9/29 Continuous
Probability Distributions
6
Uniform Distribution
Normal
Distribution
(Read:
Chapter 6, Sections 6.1 and 6.2)
Individual Assignment:
To be assigned in class, Due Date (10/05)
10/05
Sampling Distributions
7
Point
Estimation
Central
Limit Theorem
Read:
Chapter 7, Sections 7.1 through 7.6)
Individual Assignment:
To be assigned in class, Due Date (10/13)
10/13
Interval Estimation
8
Large
Sample and Small Sample cases
Confidence Intervals
t -
Distribution
(Read:
Chapter 8, Sections 8.1 through 8.4)
Exam - 1 Assigned (Due by 10/27)
10/19
There will be no Statistics class today
10/27 Hypothesis
Testing
9
Null
and Alternative Hypotheses
One-Tail
and Two-Tail tests
Significance
Levels, p-values
(Read:
Chapter 9, Sections 9.1 through 9.6)
Individual Assignment:
To be assigned in class, Due Date (11/10)
11/02
There will be no Statistics class today
11/10
Inferences about Means/Proportions with Two Populations
10
(Read:
Chapter 10, Sec 10.1, thru 10.4)
Individual Assignment:
To be assigned in class, Due Date (11/16)
Test
of Goodness of Fit
12
Test
of Independence
(Read: Chapter 12, Sec 12.1, and 12.2)
Individual Assignment:
To be assigned in class, Due Date (11/16)
11/16
Analysis of Variance
13
(Read:
Chapter 13, Sections 13.1 through 13.2)
Individual Assignment:
To be assigned in class, Due Date (12/01)
12/01
Simple Linear Regression and Correlation
3, 14
Regression
Notation
Least Squares method
Correlation
Coefficient
Computer
Solution
(Read: Chapter 14, Sections 14.1 through 14.3; Chapter 3, Section
3.5)
Group Assignment: Case
– Spending & Student Achievement (pp.604-606),
Due Date (12/07)
12/07
Simple Linear Regression
and Correlation (Cont’d)
14
Testing
for Significance
Model
Verification
Residual
Analysis
Estimation and Prediction
(Read:
Chapter 14, Sections 14.4 through 14.9)
Exam- 2 assigned (Due by 12/19)
12/15
Multiple Regression
15
Interpretation
of computer output
Testing
for Significance
Multi-Collinearity
Estimation
and Prediction
(Read:
Chapter 15, Sections 15.1 through 15.6)
12/19
Exam – 2 (Due on or before this date)