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:
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
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
CHAPTER 3 Describing
Data Using … 3, 5,10, 16, 17,
20,23,34,36, 41,45,64, 70
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
CHAPTER 6 - CONTINUED
Exam – Chapters 1-5
1 hour, 15 minutes
Tuesday Class – Sep. 28,
Monday/Wednesday Class – Sep. 29,
Week of October 4
CHAPTER 7 Estimating
Pop. Values 1,3,4,8,14,15,26,29,33,43,47,50,51,54
CHAPTER 8 Introduction
to Hyp. Testing 1,3,5,8,11,12,23,25,29,31,57
CHAPTER 9 Hyp.
Testing Two Populations 1, 4, 5, 7,
9, 17, 19,24, 36,38
CHAPTER 13 Linear
Regression and Corr. 1,3,6,9,14,16,19,23,51,56
Regression
Project Assigned
1 hour, 15 minutes
Tuesday Class – Nov. 2,
Monday/Wednesday Class – Nov. 3,
CHAPTER 14 Multiple
Reg. Analysis 1,2,3,4,6,8,11
Regression
Project Help Session
CHAPTER 15 Time Series Analysis 3,4,6,7,8,10,16,25
Week
of November 29
Week
of December 6
Final Exam – Chapters
13 – 16
Tuesday Class – Dec. 9,
Monday/Wednesday Class – Dec. 13,