Previews of a new online refresher course in statistics are offered in Nov/Dec. No charge, participants will be granted full access & asked for feedback. Slots limited.
Statistics Through Applications Course Date: Jan 8 - Feb 6, 2004 Pilot course preview: Nov 17 - Dec. 21 (no charge) 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 'll 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.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 [EMAIL PROTECTED] . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
