Department of Mathematics and Statistics
Stat 2300, Fall 2005
Business Statistics - International Program
Syllabus
USU Catalog Description
QL 2300. Descriptive and inferential statistics, probability, sampling,
estimation, tests of hypotheses, linear regression and correlation,
chi-square tests, analysis of variance, and
multiple regression.
Prerequisite: Math 1050. (4 Cr - F, Sp, Su)
USU Instructor
Dr. Jürgen Symanzik
Associate Professor
Utah State University
Department of Mathematics and Statistics
3900 Old Main Hill
Logan,
Utah 84322-3900
USA
e-mail: symanzik@math.usu.edu
Local Instructor
Alex Cheng
Institute of Advanced Learning
Tsim Sha Tsui Center
Hong Kong
e-mail: alex_cheng_@hotmail.com
(note the two underscores in alex_cheng_)
Textbook
We will use the electronic textbook
CyberStats. Please go to
http://cyberk.com and
register for course ID # 1105
(Standard - Utah State University - Juergen Symanzik -
Stat 2300 - International) at
a cost of US-$ 33. This will give you access to CyberStats
for one semester.
It is your responsibility to pay the CyberStats
publisher directly. If you do not submit your payment, your
access to the electronic textbook will be denied after
the initial trial period.
There exists an optional print companion to CyberStats
at an additional cost.
In case you would like to obtain the
printed version of the course material,
please contact the CyberStat publisher directly. It may be beneficial
if a small group of students jointly orders several copies
of the print companion.
Please check the message board of CyberStats frequently for announcements,
discussions, etc.
Lessons / Homework Assignments
CyberStats allows you to work at your own speed, at times most
convenient to you. There is a weekly meeting,
administered by the local instructor.
The confirmed times for the course are as follow:
- Thursdays (from 9/8/05 to 12/8/05), 9am - 11:30am
- Fridays (from 9/9/05 to 12/9/05), 9am - 11:30am
Your local instructor will inform you if a meeting
has to be rescheduled due to local holidays or for other reasons.
The meeting location for the course is:
These meetings are no regular lectures. Instead, your local
instructor will help with technical problems, summarize
answers to frequently asked questions, and emphasize
important points of the course material assigned for
reading each week.
CyberStats consists of 7 main units and more than 40 subunits:
- Units A: Collecting and Visualizing Data
- Units B: Modeling Random Behavior
- Units C: Inference
- Units D: Regression
- Units E: Design of Experiments and ANOVA
- Units F: Time Series
- Units G: Statistical Process Control
We will study the following subunits, following a schedule
that addresses 2 or 3 subunits each week (i.e., 36 subunits overall).
Two non-CyberStats topics will be discussed as well:
- Week 1 (beginning Mo 8/29/05):
- A-1 Overview of Data Collection
- A-2 Overview of Sampling
- Week 2 (beginning Mo 9/5/05):
- A-3 Overview of Experiments and Observational Studies
- A-4 Population vs. Sample
- A-5 Describing Data Graphically
- Week 3 (beginning Mo 9/12/05):
- A-6 Describing Data Numerically
- A-7 Scatter Plots
- A-8 Correlation - Describing Bivariate Data
- Week 4 (beginning Mo 9/19/05):
- A-9 Describing Categorical Data
- B-1 Probability Concepts
- B-2 Probability Rules
- Week 5 (beginning Mo 9/26/05):
- B-3 Conditional Probability and Independence
- B-5 Random Variables
- B-6 Expected Values and Variance
- Week 6 (beginning Mo 10/3/05):
- B-7 Binomial Random Variables
- B-9 Normal Distribution
- B-11 Sampling Distributions
- Week 7 (beginning Mo 10/10/05):
- B-12 Central Limit Theorem
- B-13 chi-Squared Distributions
- Week 8 (beginning Mo 10/17/05):
- C-1 Confidence Intervals - The Concepts
- C-2 Confidence Intervals for the Mean
- Week 9 (beginning Mo 10/24/05):
- C-3 The Concepts of Hypothesis Tests
- C-4 Hypothesis Test for the Mean
- C-6 t-Tests and Intervals
- Week 10 (beginning Mo 10/31/05):
- C-7 Tests and Intervals for Proportions
- C-8 Two Independent Samples
- Week 11 (beginning Mo 11/7/05):
- C-10 Two-Way Tables for Count Data
- D-1 Overview of Linear Modeling
- Non-CyberStats: Misleading Graphs and Charts - Material and Exercises will be posted (Reading)
- Week 12 (beginning Mo 11/14/05):
- D-2 Simple Linear Regression
- D-3 Residuals
- Non-CyberStats: Misleading Graphs and Charts - Material and Exercises will be posted (Exercises due)
- Week 13 (beginning Mo 11/21/05):
- D-4 Multiple Linear Regression
- E-1 Basic Principles of Experimental Design
- Non-CyberStats: Why NOT to use Microsoft Excel for Statistics - Material and Exercises will be posted (Reading)
- Week 14 (beginning Mo 11/28/05):
- E-2 Analysis of Variance: Concepts & Basics
- E-3 One-Way ANOVA
- Non-CyberStats: Why NOT to use Microsoft Excel for Statistics - Material and Exercises will be posted (Exercises due)
- Week 15 (beginning Mo 12/5/05):
- F-1 Data Over Time
- G-1 Overview of Statistical Process Control
You should work independently on these subunits,
reading the main parts, checking your progress via
the self-assessment tests, and work on as many of the
homework assignments as possible. You are always allowed
to work ahead, but you should not fall behind this schedule.
The first set of exercises in each CyberStats subunit
is the assigned set of homework assignments.
You have to submit your answers electronically
via CyberStats by the end of a week. This means,
answers to the exercises in set 1 of subunits A-1 and A-2
are due on Sun 9/4/05, 23:59 (11:59pm)
There will be 15 sets of homework assignments, each
worth 10 points. Your local instructor will randomly select
a subset of questions and grade these in detail.
For those questions not selected, you will get credit
based on whether you have done/not done a question
(independenly from correctness).
Exams
There is one midterm and one final exam. The midterm
is worth 350 points. The final exam is worth
500 points.
All exams are open-book, open-notes, open-computer (i.e., you
have full access to CyberStats and all its tools, calculators, etc.).
The midterm should be completed in 90 min (1.5 hours) and the final
in 180 min (3 hours). You are expected
to use the CyberStats tools, calculators, etc. efficiently.
If you rarely looked at the CyberStats tools and only
read the main text, you will most likely
fail the exams.
The midterm will be given during or after week 8 (beginning Mo 10/17/05)
and will cover the following 19 subunits:
A1-A9, B1-B3, B5-B7, B9, and B11-B13.
Your local instructor will inform you on exact dates,
times, and rooms of the midterm during the semester.
The final exam will be given during or after week 15 (beginning Mo 12/5/05)
and will cover the following 34 subunits:
A1-A9, B1-B3, B5-B7, B-9, B11-B13, C1-C4, C6-C8, C10, D1-D4, and E1-E3
(i.e., the final is comprehensive).
In addition, there will be questions dealing with the two non-CyberStats
topics on misleading graphs and charts and on Microsoft Excel.
CyberStats subunits F1 and G1 will not be examing in the final exam
(but they are covered in the last homework assignment).
Your local instructor will inform you on exact dates,
times, and rooms of the final exam during the semester.
Exam questions will be at the same difficulty level
as the exercises from the homework assignments.
In fact, some exam questions will be drawn from the
remaining exercise sets (2, 3, ...). The final exam
will consist of regular questions and a data part
where you are given a real data set and are
required to answer
questions using the CyberStats tools.
The midterm and the final exam will be
graded by your US instructor.
Sample questions (with answers) will be provided
later in the semester.
Grading Policy
Overall, there will be 1000 points: 150 for homework assignments,
350 for the midterm, and 500 for the final.
An approximate grade distribution is given below.
Plus minus grades are not indicated.
- 860 - 1000: A
- 740 - 859: B
- 620 - 739: C
- 500 - 619: D
- 0 - 499: F