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Statistics Through Applications

I. An Easy Introduction to Basic Concepts 

 

Dates: Begins 27 September 2013

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 seventh (7th) 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) selected portions of which are included in the price of the course.

Course Program: The course is structured as follows 

 

SESSION 1: Variation

  • When Statistics are required
  • Sources of Variation
  • Samples and populations 
  • Probability
  • Independence
  • Collecting some data

SESSION 2: Summarizing your data  

  • Summarizing Your Data
  • Statistics and Parameters
  • Types of Data
  • How Data is Distributed
  • Accuracy and Precision

 

SESSION 3: Experimental design

  • The Hawthorne Effect
  • Crafting an Experiment of Clinical Trial
  • Coping with Variation
  • Experimental Designs
  • Student-specific applications

Cost: The full cost of this three-week interactive on-line course is only $255 and includes portions of the text as necessary.  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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Refund Policy: Up until one-week prior to the start of a course, a refund of the fee paid less $35 will be provided on request.  Although there are no refunds after that date, a course participant may enroll without charge the next time the course is offered.

 
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