Statistics 212, Section 501, Fall 2006,
Prof. D. Cline
Welcome to the Statistics 212 homepage! This site is where you'll find assignments,
notes and other information for the Fall 2006 semester.
Note that some links require a login which will be provided when classes start.
Please see the messages page for more information.
STAT 212 is an introduction to standard statistical methods such as multiple linear
regression, experimental design and the analysis of variance, and categorical data
analysis. Advanced methods that also may be covered include general linear models,
nonparametric density estimation, nonlinear and nonparametric regression, logistic
regression, and inference for percentiles. The prerequisite is STAT 211 or its
equivalent and is required.
Please be sure your Neo account forwards your
email correctly as I will be using it to send messages, if needed.
For comments or questions, e-mail me
(dcline@stat.tamu.edu)
or contact the Statistics Department.
You will be required to login before
downloading the PDF documents provided on these pages, except for the syllabus.
Reading the documents also requires the freely distributed
Adobe Acrobat Reader.
Please check the Messages page regularly for announcements,
new developments and changes throughout the semester. These pages undergo
transformation regularly when the course is being taught. For comments or questions,
contact me or the Statistics Department:
Copyright Information
Each document provided on these web pages is copyrighted by me (Daren B.H. Cline) with all
rights reserved, whether or not the document explicitly states so. These documents may
only be used for academic purposes and they may not be reproduced or sold without my
permission. That means you may refer to them for other classes, just as you would any
book, as long as neither you nor anyone else reproduces them for sale or other
distribution. If you would
like to use some of the examples for instruction, you need to first get written permission
from me (Daren B.H. Cline,
TAMU Department of Statistics, College Station TX 77845-3143).