MAA PREP Workshop in Statistics for Summer 2002
An Introduction to Statistical Methods Based on Regression
Dates: June 2 through 7, 2002
Location: Oberlin College
Presenters:
Richard L. Scheaffer
Department of Statistics
University of Florida
Gainesville, FL 32611
Phone: 352-378-1996
Fax: 352-392-5175
Email: [EMAIL PROTECTED]
Jeffrey A. Witmer
Mathematics Department
Oberlin College
King Bldg 205
Oberlin, OH 44074-1019
Phone: (440) 775-8381
Fax: (440) 775-6638
Email: [EMAIL PROTECTED]
Overview:
Regression, in its many facets, is probably the most widely use statistical
methodology in existence. It is the basis of modeling, whether the modeling
is directed toward searching for associations among variables in observational
studies or establishing treatment differences in designed experiments. The
workshop will cover the data analytic techniques appropriate to modern use of
regression analysis, as well as the inferential procedures most widely used
with this methodology. Beginning with establishing principles and concepts
through simple linear regression, the course will build to discussions of
multiple regression, including models involving categorical response
variables. Regression is an appropriate topic to serve as the basis of a
second course in statistics, for those who have taken or taught an
introductory course. It need not be calculus based but does rely heavily on
statistical software.
Outline of workshop content
Regression basics
Simple linear regression and correlation
Multiple regression
Regression diagnostics (residuals, influence, leverage)
Partial correlation
Inference for regression coefficients, individually and in subsets
Model selection
Logistic regression
Analysis of variance models
Completely randomized design
Randomized block design
Repeated measures design
Factorial treatment arrangements
Sample survey design and analysis
Ratio and regression estimators
Main reference text for the course:
Ramsey, F. and Schafer, D. (2002). "The Statistical Sleuth," 2nd ed. Belemont,
CA: Duxbury Press.
Technology:
Regression software will be demonstrated and used by participants. Many
illustrative statistics applets and data sets from various sources on the web
will be introduced, including those referenced on the American Statistical
Association�s electronic Journal of Statistics Education. Participants will
have access to computers running standard statistical software and will have
access to the web.
Instructional Format:
Believing in active learning, the presenters will provide many opportunities
for participants to engage in hands-on activities, both with and without the
aid of technology, during the workshop. A reading list will be supplied to
the participant in advance of the workshop, and time will be devoted to
discussions of this material. Although the emphasis will be on content, there
will be opportunities for demonstrating and discussing various pedagogical
approaches to teaching regression analysis.
Cost:
Room and board are provided for all participants through a grant from NSF.
Participants must fund their own transportation to and from Oberlin.
Applying for Participation:
Applications must be made through MAA at
http://www.maa.org/pfdev/prep/prep.html
Applications should be sent in by March 31, 2002.
--
*************************************************************************
* Richard L. Scheaffer [EMAIL PROTECTED]
* Department of Statistics phone 352-392-1941 (#224)
* Box 118545 fax 352-392-5175
* University of Florida
* Gainesville, FL 32611
*
* 907 NW 21 Terrace 352-378-1996
* Gainesville, FL 32603
*************************************************************************
=================================================================
Instructions for joining and leaving this list, remarks about the
problem of INAPPROPRIATE MESSAGES, and archives are available at
http://jse.stat.ncsu.edu/
=================================================================
