Statistics
Thu, Nov-20-03, 18:14
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/courses/introstats/index.ht-
ml 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 courses@statistics.com
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/courses/introstats/index.ht-
ml 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 courses@statistics.com