Department of Mathematics and Statistics
Stat 2000, Section LI1, Spring 2004
Introduction to Statistical Methods - International Program
Syllabus
USU Catalog Description
QI 2000. Statistical Methods. Introduction to statistical concepts,
graphical techniques, probability, distributions, estimation,
one and two sample testing, chi-square tests, and simple linear regression.
Prerequisite: Math 1050. (3 Cr - F, Sp, Su)
USU Instructor
Dr. Jürgen Symanzik
Assistant 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 # 767
(Standard - Utah State University - Juergen Symanzik -
Stat 2000, Section LI1 - International) at
a cost of US-$ 30. This will give you access to CyberStats
for one semester. Please do NOT register for course ID # 233 -
a course I previously taught using CyberStats.
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 time and location for the course are as follow:
- Session 1: Tuesdays (from 1/13 to 4/20), 1-4pm
- Session 2: Thursdays (from 1/15 to 4/22), 1-4pm
5/F, Institute of Advanced Learning Tsim Sha Tsui Center
(IAL TST center).
These meetings are no regular lectures. Instead, the 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 consist 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 subunits each week (i.e., 30 subunits overall):
- Week 1 (beginning Mo 1/12/04):
- A-1 Overview of Data Collection
- A-2 Overview of Sampling
- Week 2 (beginning Mo 1/19/04):
- A-3 Overview of Experiments and Observational Studies
- A-4 Population vs. Sample
- Week 3 (beginning Mo 1/26/04):
- A-5 Describing Data Graphically
- A-6 Describing Data Numerically
- Week 4 (beginning Mo 2/2/04):
- A-7 Scatter Plots
- A-8 Correlation - Describing Bivariate Data
- Week 5 (beginning Mo 2/9/04):
- B-1 Probability Concepts
- B-2 Probability Rules
- Week 6 (beginning Mo 2/16/04):
- B-3 Conditional Probability and Independence
- B-5 Random Variables
- Week 7 (beginning Mo 2/23/04):
- B-6 Expected Values and Variance
- B-7 Binomial Random Variables
- Week 8 (beginning Mo 3/1/04):
- B-9 Normal Distribution
- B-11 Sampling Distributions
- Week 9 (beginning Mo 3/8/04):
- B-12 Central Limit Theorem
- B-13 chi-Squared Distributions
- Week 10 (beginning Mo 3/15/04):
- C-1 Confidence Intervals - The Concepts
- C-2 Confidence Intervals for the Mean
- Week 11 (beginning Mo 3/22/04):
- C-3 The Concepts of Hypothesis Tests
- C-4 Hypothesis Test for the Mean
- Week 12 (beginning Mo 3/29/04):
- C-6 t-Tests and Intervals
- C-7 Tests and Intervals for Proportions
- Week 13 (beginning Mo 4/5/04):
- C-8 Two Independent Samples
- C-10 Two-Way Tables for Count Data
- Week 14 (beginning Mo 4/12/04):
- D-1 Overview of Linear Modeling
- D-2 Simple Linear Regression
- Week 15 (beginning Mo 4/19/04):
- D-3 Residuals
- E-1 Basic Principles of Experimental Design
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 1/18/04, 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 are two midterms and one final exam. The midterms
are worth 200 points each. The final exam is worth
450 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 two midterms should be completed in 60 min (1 hour) 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.
Midterm 1 will be given in week 7 (Monday 2/23/04)
and will cover the following 11 subunits:
A1-A8, and B1-B3.
Exact rooms and times for Midterm 1
will be posted early in the semester.
Midterm 2 will be given in week 11 (Monday 3/22/04)
and will cover the following 9 subunits:
B5-B7, B-9, B11-B13, and C1-C2.
Exact rooms and times for Midterm 2
will be posted early in the semester.
The final exam will be given in week 15 (Monday 4/19/04)
and will cover the following 28 subunits:
A1-A8, B1-B3, B5-B7, B-9, B11-B13, C1-C4, C6-C8, C10, and D1-D2
(i.e., the final is comprehensive).
Subunits D-3 and E-1 will not be assessed in the final exam
although they are part of the overall course and the corresponding
homework solutions have to be turned in by the end of week 15.
Exact rooms and times for the final exam
will be posted early in 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 two midterms 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,
200 for Midterm 1, 200 for Midterm 2, and 450 for the final.
An approximate grade distribution is given below.
Plus minus grades are not indicated.
- 900 - 1000: A
- 800 - 899: B
- 700 - 799: C
- 550 - 699: D
- 0 - 549: F