George Mason University
School of Information Technology and Engineering
Department of Applied and Engineering Statistics
STAT 535: Analysis of Experimental Data
Fall Semester, 2005
Thursdays from 7:20 to 10:00 PM
(starting Sep. 1, with other dates given below)
Location:
room 205 of
Krug Hall
Contact Information (phone, fax,
e-mail, etc.)
Office Hours: 6:00-7:00 & 10:00-10:30 PM
on class nights
(more information)
Texts:
Software:
I will explain how the SPSS Graduate Pack can be used to perform a lot
of the procedures covered in the course. (You are free to use other
software as long as you obtain the correct answers, but you'll be on
your own with regard to using anything other than SPSS Graduate Pack.
I strongly recommend that you use SPSS since it's what I'll teach you
how to use.) The SPSS Graduate Pack may be purchased at
Patriot Computers in
the Johnson Center (near the bookstore). (I encourage you to try
to purchase it
as soon as possible, since if they run out, they may not quickly order
more unless there is a demand for it. Also, make sure that you buy the
correct version for your computer --- the store tends to mix the Mac
stuff in with the regular PC stuff.) Alternatively, if you go to the
e-academy web site and click on SOFTWARE,
you can click further to find that you can rent the SPSS Graduate Pack for 6 months for $79.99.
Description:
Statistical methods for the analysis of experimental data,
including ANOVA and regression. After a brief review of
elementary probability, both parametric and nonparametric inference
methods appropriate for a variety of experimental designs are presented,
and the use of appropriate statistical software is taught.
- Intended
primarily for researchers in the natural sciences,
the objective of the course is to prepare researchers
to design and conduct good experiments, to competently do the
subsequent data analysis, and to understand their results and reach scientifically valid conclusions.
- This course can be used to satisfy the requirements of the Certificate
in Federal Statistics, but cannot be used to satisfy the requirements of
the M.S. in Statistical Science.
- Some programs may not grant credit for more than one of
STAT 510, STAT 535, and STAT 554.
(
Here is a description of how STAT 535 compares to STAT 510 and STAT
554.)
(Approximate) Class-by-Class Content:
- [1] Sep. 1:
- Introduction to the analysis of data from designed experiments;
Elementary probability theory
( Ch. 1 & Ch. 3 (through p. 92) of S&W)
- [2] Sep. 8:
- More
probability; Binomial distributions
( Ch. 3 (from p. 93) of S&W)
- [3] Sep. 15:
- Normal distributions; Descriptive statistics;
Introduction to SPSS
( Ch. 2 & Ch. 4 of S&W)
- [4] Sep. 22:
- Sampling distributions; Confidence intervals
( Ch. 5 & Ch. 6 of S&W)
- [5] Sep. 29:
- Hypothesis testing; Statistical methods for two-sample experiments
( Ch. 7 of S&W)
- [6] Oct. 6:
- Basics of experimental design
( Ch. 8 of S&W)
- [7] Oct. 13:
- Statistical methods for
matched-pairs experiments
( Ch. 9 of S&W)
- [8] Oct. 20:
- One-way ANOVA; Multiple comparisons; Related nonparametric methods
( Ch. 11 (except Sec. 11.6) of S&W &
(parts of) Ch. 1 of G&H)
- [9] Oct. 27:
- Simple linear regression; Correlation
( Ch. 12 of S&W &
(parts of) Ch. 2 of G&H) --- midterm exam
distributed
- [10] Nov. 3:
- Introduction to multiple regression
( (parts of) Ch. 4 of G&H) --- midterm
exam due
- [11] Nov. 10:
- More on multiple regression
( (parts of) Ch. 4 of G&H)
- [12] Nov. 17:
- Analysis of covariance (ANCOVA)
( (parts of) Ch. 4 & Ch. 6 of G&H)
- [**] Nov. 24:
- No class
(due to Thanksgiving
break)
- [13] Dec. 1:
- More on ANOVA (two-way ANOVA, random effects, other designs)
( Sec. 11.6 of S&W &
(parts of) Ch. 12 of G&H)
- [14] Dec. 8:
- Categorical data analysis; Summary and brief mention of other
topics
( Ch. 10 & Ch. 13 of S&W &
(parts of) Ch. 13 & Ch. 14 of G&H)
- [**] Dec. 15:
- Final Exam (note: exam period is
from 7:30 to 10:15 PM)
Grading:
- 50% for
homework assignments
- 10% for
quizzes
(approximately 3 to 10 minutes each, almost weekly)
- 10% for
midterm exam
(take-home, open book and notes --- distributed Oct. 27, due Nov. 3)
- 30% for
final exam
(open book and notes)
Additional Comments:
- be sure to note that there is no class on November 24
due to Thanksgiving break
- I can possibly make arrangements to meet with you outside of my
scheduled hours; but I tend to have little time for meetings on Wednesdays
and Fridays due to another class and two seminars;
and
on Thursdays I do not like to be
bothered from 7:00 to 7:17
- (important) put STAT 535 in the subject line when you send me e-mail
(due to spam, I delete a lot of messages without reading them based
on the subject line)
- please do not leave long messages on my voice-mail,
and since I often do not get around to returning calls until the
evening, you should state what time you plan to go to sleep (and always
leave both your day and evening phone numbers, speaking slowly,
even though you may have given them to me previously); I much prefer to
communicate in person or via e-mail than over the phone (phone tag gets
frustrating, and I've experienced problems with the reliability of the
GMU voice-mail system --- but I will try to return your calls if you're unable to
communicate via e-mail when you're off campus)
- please abide by the university policy that cell phone ringers be
turned off while class is in session
- please do not make a lot of noise eating during class --- if you
feel that you must eat during class, please choose a soft candy bar
rather than a bag of potato chips (since both the chips and the bag they
come in tend to make too much noise when eaten and handled)
- you are expected to familiarize yourself with the
George Mason University honor code and abide by it; although it is
perfectly okay to seek limited assistance from others on most of the
homework problems, it
will be considered to be a violation of the honor code if you give or
receive unauthorized aid on certain specified homework problems or
on the exams and quizzes
- you are expected to take the final exam during the
designated time slot; Incompletes will
not be granted except under very unusual circumstances
- any class meetings canceled by the university due to
snow, sleet, power outage, bombing,
etc. will be made up if possible (perhaps on a
Saturday);
with regard to bad weather, I plan to teach class if
the university is open and not teach it if the university is closed, so
instead of calling me if it snows, simply check to determine if the
university is open or closed
- caveat: the schedule and procedures described
here for this course are subject to change (it is the responsibility of
students to attend all class meetings, and to check this web site
regularly, in order to keep themselves informed of
any changes)