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Begins
March 23rd 2012
Aim
of the Course: This
2-week course will show
you how to use R to create
more effective graphic
presentations.
Who Should Take This
Course: Anyone who
wants to enhance their
articles or presentations,
oral or written, with
graphs and charts
Instructor: Dr.
Phillip Good, former
Calloway Professor of
Computer Science at the
University of Georgia
(Fort Valley) and graduate
of the program in
mathematical statistics at
UC Berkeley, is the author
of Introduction to
Statistics via Resampling
Methods and R/Excel
(Wiley, 2005), Common
Errors in Statistics (and
How to Avoid Them)
(Wiley, 2nd ed., 2006 with
James Hardin), Resampling
Methods (Birkhauser,
2nd ed, 2005), Permutation,
Parametric, and Bootstrap
Tests of Hypotheses
(Springer, 3rd ed, 2004), Manager's
Guide to Design and
Conduct of Clinical Trials
(Wiley, 2nd ed, 2005), and
Applying Statistics in
the Courtroom (CRC,
2001). He has given
tutorials at the Joint
Statistical Meetings
(U.S.) and Deming
Conference, lectured
in Australia, Belgium,
Bulgaria, France, Holland,
Ireland, Slovenia, and
Spain,
and was a traveling
lecturer for the American
Statistical Association.
This is his sixth (6th)
year of providing on-line
interactive courses.
Prerequisite:
Prerequisite:
You should have
familiarity with basic
statistical
concepts. You should
have some familiarity with
Excel or with R (as in Introduction
to R).
Organization
of the Course:
The course takes place
over the Internet.
During each course week,
you participate at times
of your own choosing -
there are no set times
when you must be online.
Course participants will
be given an alias and
access to a private
bulletin board that serves
as a forum for discussion
of ideas, problem solving,
and interaction with the
instructor. The course is
scheduled to take place
over two weeks. Estimated
weekly time requirements
for this course - an hour and
a half to two hours for
the lecture, and another
three hours for homework
and review.
At the beginning of
each week, participants
receive the relevant
material, in addition to
answers to exercises from
the previous session.
During the week,
participants are expected
to go over the course
materials and work through
exercises. Discussion
among participants is
encouraged. The instructor
will provide answers and
comments.
Optional
Texts: Participants may
wish to purchase and make
use of Introduction
to Statistics via
Resampling Methods and
R/S-Plus, Introduction
to Statistics via
Resampling Methods and
Microsoft Excel,
and/or Common
Errors in Statistics (and
How to Avoid Them)
and/or R
Graphics.
- Session
I: Eleven Rules for
More Effective Graphs
Text
elements
Subgroups
Pie
Charts'
3-D
Graphs
Multi-dimensional
displays
Text,
table, or Graph
Oral
Presentations
-
Session
2: Advanced Graphic
Methods
Color
Plotting
residuals
Plots
with multiple lines
Side-by-side
plots
Software
essentials
One
week is allowed after
Session 2 to give
participants the
opportunity to clarify any
questions arising from
this or previous sessions.
Full
cost of course is
$165. Early bird
discount may apply. Government
employees, students,
faculty and research
workers at academic and
research institutions are
eligible for a further
discount of $35.
Just send an email to courses@statcourse.com
from your institution or
government email account
to receive a discount
coupon. No refunds after
the start of course.
Immediately
after your payment is
credited, you will receive
an email giving you a
password, sign up
instructions, and the web
address (URL) of the
course material.
Note that you will not be
able to access this
address until the start
date of the
course.
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