Office: BT757 Office
Phone: (408) 924-3444 Fax:
(408) 924-3445
E-mail: yetimyan_m@cob.sjsu.edu Web Page: www.cob.sjsu.edu/yetimy_m
Office
Hours: MW
Class
Schedule:
Section
3 Code 20500 MW
3:00-4:15 p.m. BBC 103
Section
10 Code 28914 MW
4:30-5:45 p.m. BBC 003
Course description: In terms of theory and application: collection and presentation of data; measures of central tendency
and spread; probability as a measure of uncertainty; sampling distributions;
estimation and hypothesis testing; regression and correlation.
The course does NOT meet GE
Math Concepts requirement
Prerequisite: Math 70 and Bus 91L or equivalents
Course objectives: Develop thorough grounding and practical knowledge of the
fundamental concepts and tools of statistical data analysis. Emphasis will be on understanding/interpretation
rather than memorization and manipulation of formulas.
At
the end of this course, you should be able to:
Course
outline: The course material can be divided roughly
into three parts. The first part
focuses on Descriptive Statistics. It
introduces graphical and numerical methods for summarizing and presenting data
in a way that illustrates important features of the data. This part of the course is purely deterministic;
there is no notion of uncertainty. The
challenge here is to start using Excel.
Excel is essential for the last part of the course where hand
computations would be too time-consuming to focus your attention on the interpretation of the meaning of the
quantities calculated by Excel.
In the second part of the course, we study making decisions under uncertainty and introduce the concepts of probability, estimation and hypothesis testing. Probability is the tool that we use to express uncertainty. We introduce probability in an intuitive way and make it concrete with real-life business examples from risk management, quality control, etc. Then we study statistical inference-estimation and hypothesis testing. These are fundamental building blocks that one encounters in every situation where sample data are used to draw conclusions about a large population.
The
last part of the course is dedicated to the study of modeling relations among
attributes through regression analysis-again, a basic model for exploiting
associations to strengthen inference.
Tuesday,
May 17 Last day of instruction
Adds/Drops: You are responsible for all University deadlines for adding and
dropping. As of Tuesday, February 15,
dropping the class approved only for serious and compelling reason with valid,
verifiable documentation.
Text: Levine, Stephan, Krehbiel, Berenson, Statistics for Managers
Using Microsoft Excel, 4th ed., Prentice Hall, 2005. (ISBN:
0-13-144054-3)
Optional Excel to be purchased at the bookstore.
Software: Microsoft Excel—also available on CoB lab terminals on the third floor.
Chapter 1
Introduction and Data Collection
Chapter 2
Presenting Data in Tables and Charts
Chapter 3
Numerical Descriptive Measures
Chapter
4
Basic Probability
Chapter 5
Some Important Discrete Probability Distributions
Chapter
16 Decision Making
Chapter 6
The Normal Distribution and Other Continuous Distributions
Chapter 7
Confidence Interval Estimation
Chapter
12 Simple Linear Regression
Homework
and quizzes: Homework is assigned for each chapter and, with
the exception of Excel related work (there will be three), homework will not be
turned in for grading. Some problems
may be reviewed in class; others may be discussed during office hours. It is essential that you keep up with the
work as the material is presented in class.
Quizzes covering the assigned homework problems will be given in
class. There will be approximately nine
quizzes. The two lowest scores will be
dropped from the evaluation.
A
list of homework problems (subject to change) will be distributed in
class.
Evaluation: Evaluation will be based on the following criteria. However, positive attitude about the course
could improve the cumulative score of any student.
Three exams 20%
each
Comprehensive final exam 30%
Quizzes and homework 10%
(10 points each)
Roughly,
the breakdown for the semester grades will be:
90-100 A
80-89.9 B 70-79.9 C 60-69.9
D Below 60 F
Plus
(+) and minus (-) designation for grades will be indicated in class.
A
make-up exam will be allowed for a serious reason and with prior
notification. And, you must have
appropriate documentation. Ten points
will be deducted from the make-up exam score.
Only one make-up exam and no make-up quizzes are allowed.
Academic
dishonesty, in any form, will not be tolerated.