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Psychology literature speaks of savants - people with incredibly
deep comprehension in one area, yet little in others.  For
example, the twins who passed prime numbers back and forth for
amusement (including some primes so long as to require substantial
computing power to verify).  While algebra is the traditional
instrument for teaching statistical models, in his online course
Prof. Daniel Kaplan offers another path:  the use of simple
geometry (lengths, angles, projection, ...) to present theory,
and resampling to handle inference.  This course serves as an
excellent bridge between introductory courses and more specialized
statistical modeling courses such as logistic regression, GLM,
etc. “Introduction to Statistical Modeling” will be presented
January 7 – February 4, 2011 at statistics.com.

Upcoming Courses:

Jan  7:  Introduction to Statistics for Beginners
Jan  7:  Introduction to Statistical Modeling (more below)
Jan 14:  Probability Distributions
Jan 21:  Calculus Review

In “Introduction to Statistical Modeling”, you will be able to
construct and interpret linear statistical models involving
multiple variables and co-variates, you will understand the
implications of including or excluding explanatory variables,
you will be able to conduct and interpret analysis of variance
(ANOVA) and of covariance (ANCOVA), and you will have a solid
theoretical foundation for understanding linear regression and
experimental design.

Dr. Daniel T. Kaplan is DeWitt Wallace professor in the Mathematics,
Statistics, and Computer Science Department at Macalester College
in Saint Paul, Minnesota where he teaches statistics, applied
mathematics, and computational science. He is the author of
“Statistical Modeling: A Fresh Approach,” as well “Introduction
to Scientific Computation and Programming, Understanding Nonlinear
Dynamics,” and “Resampling Statistics in Matlab.” He won the annual
Excellence in Teaching award at Macalester in 2006 and has received
curriculum development grants for this approach to statistical
modeling from the Howard Hughes Medical Institute, the Keck
Foundation, and the U.S. National Science Foundation.  Participants
can ask questions and exchange comments with Dr. Kaplan via a
private discussion board throughout the period.

Details:
http://www.statistics.com/ourcourses/ModelingIntro/

The course takes place online at statistics.com in a series of 4
weekly lessons and assignments, and requires about 15 hours/week.
Participate at your own convenience; there are no set times when
you are required to be online.

Look forward to seeing you online!

Janet Dobbins

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