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Dates:
Begins 14 September
2012
Aim
of the Course:
To provide an easy
introduction to statistics
and statistical
terminology through a
series of practical
applications. Once you've
completed this course
you'll be able to
summarize data and
interpret reports and
newspaper accounts that
use statistics and
probability. You'll use
simulation and resampling
to fully grasp the
difficult concept of
"statistical
significance.
Who
Should Take This Course:
Anyone who encounters
statistics in their work.
This first course in
statistics requires no
prior training in the
subject. The only
mathematics you need is
arithmetic.
Instructor:
Dr. Phillip Good, an
applied statistician and
graduate of the program in
mathematical statistics at
U.C. Berkeley, former
Division
Head and Professor of
Biology at West Coast
University,
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, 4th edition 2012
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
had designed experiments
and analyzed data for
chemical engineering,
legal, medical device,
military, software, and
pharmaceutical firms. This
is his sixth (6th) year of
providing on-line
interactive courses.
Prerequisite:
No formal background in
statistics is
required. You should
have encountered data in
your work as the examples
in the course are examples
provided by the students.
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,
examples from your own
work, 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 and will
respond to comments as
they are posted.
Course
Text:
Introduction to
Statistics via Resampling
Methods and R, 2nd edition
(Wiley, 2012) is
included in the price of
the course.
Course
Program: The
course is structured as
follows
SESSION
1:
Variation
- When
Statistics are
required
- The
three applications of
Statistics
- Samples
and populations
- Probability
- Independence
SESSION
2: Summarizing your data
- Means
and medians
- Box
plots and histograms
- Types
of data
- Parameters
and parameter
estimates
- Accuracy
and precision
SESSION
3: Testing a hypothesis
- Is
the treatment
effective?
- p-values,
significance level,
and power
- One-sided
and two-sided tests
- Testing
for correlation
- Student-specific
applications
Cost:
The full cost of this
three-week interactive
on-line course is only
$255 and includes the
text. Early-bird
discount may apply.
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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