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Dates:
Begins 16 March
2012
Aim
of the Course:
To provide a
guide to error-free
research whether planning
experiments and surveys,
collecting data, analyzing
data, or developing
reports and oral
presentations. To serve
both as
a self-help refresher
course and
a
second course in
statistics.
Each
lesson provides a
prescription, examples,
and step-by-step methods.
Who
Should Take This Course:
Anyone about
to make the transition
from slavish student to independent researcher.
Instructor:
Dr. Phillip Good, an
applied statistician and
graduate of the program in
mathematical statistics at
U.C. Berkeley, is
in his seventh (7th) year
of providing on-line
interactive
courses. A former
Division
Head and Professor of
Biology at West Coast
University,
he is
the author of Introduction
to Statistics via
Resampling Methods and
Microsoft Office Excel (Wiley,
2005), Common
Errors in Statistics (and
How to Avoid Them)
(Wiley, 2003, 2006 with
James Hardin), Manager's
Guide to Design and
Conduct of Clinical Trials
(Wiley, 2nd ed
2006), Resampling
Methods (Birkhauser,
3rd 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.
Prerequisite:
At
least one previous course
in statistics. If
you've never used R or any
other computer language
before, the add-on-module,
a one-week introduction to
R, is recommended.
Organization
of the Course: The
course takes place over
the Internet. Course
participants will be given
access to a private
bulletin board, on which
they will receive course
materials. The board will
also serve as a forum for
discussion of ideas and
problem solving.
The course is scheduled to
take place over three
weeks. 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
the exercises. Discussion
among participants is
encouraged. The course
leader will provide
answers and comments on
set weekdays.
Course
Text:
Extracts
from the forthcoming CRC
text, The A to Z of
Error-Free Statistics will
be provided as needed.
Course
Program: The
course is structured as
follows
SESSION
1:
Planning Research
- When
statistics are
required
- Testable
hypotheses
- Sources
of variation
- Sampling
objectives
SESSION
2: Collecting Data
- Experimental
designs
- Formal
descriptions
- Computerize
your data
- Preventive
measures
- Monitoring
SESSION
3: Analyzing
Data
- Descriptive
statistics
- Types
of data
- Estimation
- Testing
hypotheses
- Special
techniques (as
dictated by current
course
participants)
SESSION
4: Reporting Your Findings
- Parts
of the report
- Methods
and materials
- Text,
table or graph
- Rejection
and how to respond
- Oral
presentations
Each
lesson provides a
prescription, examples,
and step-by-step methods.
Cost:
The full cost of this
four-week interactive
on-line course is only
$299. Early-bird discount
may apply.
(Students, faculty, and
research workers at
academic institutions can
obtain a discount of $45
on the course by writing
to courses@statcourse.com
using their institutional
email address.)
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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