Statistics Through Applications
Course Date: Jan 8 - Feb 6, 2004


Aim of the course is to provide an easy introduction to statistics and
statistical terminology through a series of practical applications. Once
you've completed this four-week on-line interactive course you'll be able to
summarize data, interpret reports and newspaper accounts that use statistics
and probability, and review plans for surveys and experiments.

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. Software is
provided.

Organisation of the Course - The course takes place over the Internet at
statistics.com. 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.
Resampling Stats software is provided for the duration of the course and you
will be given step-by-step instructions in its use.

The course is scheduled to take place over four 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
exercises. Discussion among participants is encouraged. The course leader
will provide answers and comments on set weekdays.
To enroll - You may register for this course by going to our payment site
and entering your credit card information.

http://www.statistics.com/content/co...ats/index.html
Register for "Statistics Through Applications" now!


Course Program - The four lectures cover the following topics.
An Introduction to Statistics Through Applications

I. Basic Concepts
Variation
Samples and Populations
Probability

II Summarizing Your Data
Types of Data
Parameters and Parameter Estimates
Mean and Median
The Bootstrap

III Testing a Hypothesis
Two-Sample Comparison
Bootstrap
t-test
Interval Estimation

IV Surveys and Experiments
Estimating a Proportion
Independence
Four Rules of Experimental Design
A Survey
An Experiment

The Instructor: Dr. Phillip Good, an applied statistician and graduate of
the program in mathematical statistics at UCBerkeley, is the author of
Common Errors in Statistics (and How to Avoid Them) (Wiley, 2003 with James
Hardin), as well as Resampling Methods (Birkhauser, 2nd ed, 2001),
Permutation Tests (Springer, 2nd ed, 2000), Manager's Guide to Design and
Conduct of Clinical Trials (Wiley, 2002), and Applying Statistics in the
Courtroom (CRC, 2001). He has given tutorials at the Joint Statistical
Meetings (U.S.) and Deming Conference, lectured in Belgium, France, Holland,
Ireland, and Spain, and was a travelling lecturer for the American
Statistical Association. This is his 3rd year of providing on-line
interactive courses for statistics.com. This course is based on the 3rd
edition of his introductory statistics text Resampling Methods.

Register for previews at