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.

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.

E
MBA 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

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),

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)