UNIVERSITY OF ST. THOMAS

CAMERON SCHOOL OF BUSINESS - Fall 2004

COURSE OUTLINE

COURSE TITLE:  Statistical Methods for Management Decisions    COURSE NO.: MBA 5315

CATALOG DESCRIPTION: An advanced study of mathematical and statistical techniques to develop estimates and quantitative information for management decision making.  Prerequisite: MBA 5303 or equivalent.

INSTRUCTOR:    L. Scott Baggett

OFFICE HOURS:            by appointment only

PHONE: 713 348 6309

CELL: 832 419 0733

E-MAIL: baggett@rice.edu

TEXTBOOK:     "Business Statistics: A Decision Making Approach" 6th Edition by Groebner et.al

STUDENTS ACADEMIC OUTCOMES:(what the student who successfully and satisfactory completes the course should know and able to do):

1-  Identify and formulate problems where statistics can have an impact.

2-  See the relevance of statistics and apply what has been learned to other business courses and to           career practice.

3-  Be able to properly present and describe information.

4-  Understand statistical methods for quality improvements.

5- Be able to draw conclusion about large populations based only on information obtained from samples.

6-  Use Excel Spreadsheet for data analysis, modeling, and forecasting.

TOPICS:  Descriptive statistics, frequency distributions, graphical presentation of data, measures of central tendencies, measures of dispersion, rules of probability, conditional probability, probability distributions, central limit theorem, sampling and estimation, confidence interval estimation, tests of hypotheses, regression and correlation, tools for quality improvement, and statistical quality control.

CLASS POLICY: The best method to learn statistics is by attending the lectures, asking questions, and doing the homework assignments.  There will be two mid-semester exams and a final exam.  If you have a schedule conflict with an exam date, you must notify me ahead of the exam date so that proper arrangement can be made for a make-up exam.  No make-up exam is given without prior agreement between a student and instructor.  Homework assignments are given on the next page.  Homework is automatically assigned after the corresponding lecture is completed.  They will be collected three times during the semester, on the scheduled exam dates. Some of the homework assignments must be done using Microsoft Excel.  If you do not have computer at home, the computer lab in the basement of science building   (Robertson Hall) could be used.

GRADING: The three exams counts 75% (25% each) toward your final grade.  Homework  assignments worth 10% of your grade.  A regression project using Microsoft Excel Spreadsheet  worth 15% of your final grade.

Statement of Academic Integrity- Ethical conduct is essential to a community of scholars and students searching  for the truth. Anything less than total commitment and honesty and honorable conduct undermines the efforts of the entire community.  Academic integrity lies at the very heart of any institution of higher learning.  In the Cameron School of Business, students and faculty are expected to commit to a code that exemplifies each individual's honor and integrity.  Any conduct that violates this standard and betrays the respect of others is a matter of grave concern and, accordingly, is deemed unacceptable.

HOMEWORK ASSIGNMENTS

DATE  CHAPTER                           TOPIC                               ASSIGNED HOMEWORK

Week of August 23

CHAPTER 1                      The Where, why, and ….

CHAPTER 2                      Graphs, Charts, and …                    8, 12, 13, 15, 16, 18, 27, 28, 34,45, 46, 47, 59,

64

Week of August 30

CHAPTER 3                      Describing Data Using …  3, 5,10, 16, 17, 20,23,34,36, 41,45,64, 70

Week of September 6

CHAPTER 4                      Using Probability and …                  1,6,7,9,15,17,21,22,24,30,31,45,50,51,59,63,66,69

Week of September 13

CHAPTER 5                      Continuous Prob. Dist.                     3,7,9,13,14,17,18,23,28,35,37,40,,43,44, 45,49,

55, 57,61, 63, 97, 98, 102, 108, 117

Week of September 20

CHAPTER 5 - CONTINUED

CHAPTER 6                      Introduction to sampling Dist.         7, 8,11,13,19,23,33,36,57,61,72,75

Week of September 27

CHAPTER 6 - CONTINUED

Exam – Chapters 1-5

1 hour, 15 minutes

Tuesday Class – Sep. 28, 7:00 – 8:15pm

Monday/Wednesday Class – Sep. 29, 5:30 – 6:45pm

Week of October 4

CHAPTER 7                      Estimating Pop. Values                    1,3,4,8,14,15,26,29,33,43,47,50,51,54

Week of October 18

CHAPTER 8                      Introduction to Hyp. Testing           1,3,5,8,11,12,23,25,29,31,57

Week of October 25

CHAPTER 9                      Hyp. Testing Two Populations        1, 4, 5, 7, 9,  17, 19,24, 36,38

Week of November 1

CHAPTER 13                    Linear Regression and Corr.           1,3,6,9,14,16,19,23,51,56

Regression Project Assigned

Exam Chapters 6-9

1 hour, 15 minutes

Tuesday Class – Nov. 2, 7:00 – 8:15pm

Monday/Wednesday Class – Nov. 3, 5:30 – 6:45pm

Week of November 8

CHAPTER 14                    Multiple Reg. Analysis                    1,2,3,4,6,8,11

Regression Project Help Session

Week of November 15

CHAPTER 15                    Time Series Analysis                       3,4,6,7,8,10,16,25

Week of November 29

CHAPTER 16                    Nonparametric Statistics                  1,2,3,4,5,6,7,8,9

Week of December 6

Review Sessions

Final Exam – Chapters 13 – 16

Tuesday Class – Dec. 9, 7:00 – 9:30pm

Monday/Wednesday Class – Dec. 13, 5:30 – 8:00pm