STAT
506 : Sampling Theory and Methods Spring 2005
Tuesday,
Thursday 11:15am-12:30pm 219 Thomas Building
Instructor: Dr. Mosuk Chow
Office: 315 Thomas
Phone: 863-8128 (e-mail: mchow@stat.psu.edu)
Office Hours: Wednesday, Thursday
2:00-3:30pm or by appointment
Aim: The
course covers sampling design and analysis methods useful for research and
management in many fields. The field of Sampling considers the way that the
data we observe are selected. A well-designed sampling procedure ensures that
we can summarize and analysis the data with a minimum of assumptions or complications.
In this course, we will cover the basic methods of sampling and estimation
and then explore selected topics and recent developments. Basic methods include
simple random sampling with associated estimation and confidence interval
methods, selecting sample sizes, estimating proportions, unequal probability
sampling, ratio and regression estimation, stratified sampling, cluster and
systematic sampling, multistage designs, and double sampling. More recent
topics will include network sampling.
Textbook: Sampling,
Second Edition, by Steven K. Thompson, John Wiley and Sons, 2002.
Website: the ANGEL (cms.psu.edu) site of this course
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Course Content: Chapters 1-8, 11-15 and selected topics.
Grades:
|
Home works: |
25 % |
|
Midterm: |
25 % ( March 1) |
|
Presentation: |
10 % |
|
Project: |
15 % |
|
Final Exam: |
25 % (per University
schedule) |
Grading (tentatively):
Course grades in each of the nine categories will be tentatively awarded based
on the following lower bounds:
|
F |
D |
C |
C+ |
B- |
B |
B+ |
A- |
A |
|
0 |
60 |
70 |
77 |
80 |
83 |
87 |
90 |
93 |
Exams:
Midterm exam and final will be closed book and comprehensive. More focus will
be given to material not covered in the prior exams. For midterm and final
exams, you will be allowed to bring in a formula sheet made up by yourself.
This sheet may comprise three pages of one sided 8.5x11 inches sheets. No
early or late exams will be allowed without a legitimate excuse.
Home works: Homework
assignments will posted on the Angel site and you will get an e-mail when
it is posted. You must show all work on the homework problems to get full
credit. The lowest homework score will be dropped. Doing the homework promptly
and carefully is necessary for learning the material. A reasonable amount
of collaboration is allowed on homework. However, each student must turn in
his or her own written work which reflects his or her own individual understanding
of the material. Late home works : (10 % off for each day late)
Academic Integrity:
All Penn State and Eberly College
of Science policies regarding academic integrity apply to this course. See
http://www.science.psu.edu/academic/Integrity/index.html
for details.