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Statistics 875
Categorical Data Analysis
Spring 2010
Instructor
Name: Christopher R. Bilder, Ph.D.
Office: Hardin Hall 342D (East Campus)
Office hours: MW 1:30-2:30PM, and by appointment
(for the 2nd and 4th Mondays of the
month, office hours end at 2PM due to departmental faculty
meetings)
Website: www.chrisbilder.com
E-mail:
STAT 875 website:
statistics.unl.edu/faculty/bilder/stat875 or
www.chrisbilder.com/stat875
Textbooks
Agresti, Alan (2007). An Introduction to Categorical Data Analysis. John
Wiley & Sons, Inc.: New York.
Supplementary:
Agresti, Alan (2002). Categorical Data Analysis. New York: John
Wiley & Sons, Inc.
Venables, W. N. and Smith, D. M. (2007). An Introduction to R. - Buy at
Amazon.com or use the PDF version which already comes in R (Select
HELP > MANUALS > AN INTRODUCTION TO R).
Prerequisites
STAT 801,
Statistical Methods in
Research
Strongly recommended: STAT 870,
Multiple Regression Analysis
Grades
Grades will be based upon the following:
| |
Test #1 |
Test #2 |
Final exam |
Projects, Quizzes, etc... |
| % of grade |
25% |
25% |
20% |
30% |
Grading Scale:
| A |
B |
C |
D |
F |
|
³90%
and
£100% |
³80%
and <90% |
³70%
and <80% |
³60%
and <70% |
<60% |
+ and – letter grades are 2.5%
from the above cut off points. For example, A- is 90-92.5% and B+
is 87.5-90%.
You are required to turn in all projects electronically. Projects need to be
completed in Word documents. A project completed in an unreadable or
unprofessional manner will be returned to the student. The project may be
redone and turned in again; however, points will be deducted from the grade.
No late projects, quizzes, etc. will be accepted.
I recommend completing the projects in groups. If you work in a group, all
group members are expected to participate equally and have a complete
understanding of all components of the projects. I reserve the right to lower
a student’s project grade if he/she does not abide by this group work policy.
Statistical software
The statistical computer software package R will be used extensively to do
calculations in this class. R is available for free from
www.r-project.org. The specific link to
download the Windows version is
cran.r-project.org/bin/windows/base. This software is based on the syntax
used in the award winning S language and is very similar to the S-Plus
statistical software package. All projects must be completed using R unless
otherwise announced.
Class recordings
All classes will be recorded during the semester. These recordings will be
posted to the Internet for students in this course and others not enrolled in
this course to use for educational purposes. Please do not abuse the
availability of these recordings by not coming to class! I recommend using the
recordings as a way to review material discussed during class and as a back-up
if extenuating circumstances prevent you from attending class. These recordings
may include audio from students in this course. If you do not want your own
voice included, please meet with me within the first week of the semester to
discuss alternatives.
Internet use during class
Do not access the Internet during class; this includes checking e-mail,
instant messaging, and browsing web pages. The only exceptions are if you are
asked by me to go to a specific web page during class.
Final Exam
The final exam is scheduled for 3:30PM
to 5:30PM on Monday, May 3.
How to be successful in the course
To be successful in this course, I strongly suggest that you should:
- Understand all the material in the course lecture notes
- Understand all R code and calculations (I expect you to rerun all of my code)
- Complete all homework
- Read the corresponding sections of the textbook as we cover
the course material
If you have problems with completing any of the above, please ask questions
in class or stop by during my office hours.
UNL Americans with Disabilities Act statement
Students with disabilities are encouraged to contact the instructor for a
confidential discussion of their individual needs for academic accommodation. It
is the policy of the University of Nebraska-Lincoln to provide flexible and
individualized accommodation to students with documented disabilities that may
affect their ability to fully participate in course activities or to meet course
requirements. To receive accommodation services, students must be registered
with the Services for Students with Disabilities (SSD) office, 132 Canfield
Administration, 472-3787 voice or TTY.
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