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Statistics Demystifiedby Stan Gibilisco
Synopses & Reviews
INCREASE YOUR ODDS OF LEARNING STATISTICS
Now anyone with an interest in mastering statistics can do so — without formal training, unlimited time, or a private tutor. In Statistics Demystified, best-selling science and math writer Stan Gibilisco provides an effective, anxiety-soothing, and totally painless way to learn or review statistics fundamentals.
With Statistics Demystified, you master the subject one simple step at a time — at your own speed. This unique self-teaching guide offers problems at the end of each chapter and part to help expose potential weaknesses, and a 100-question "final exam" to reinforce what you learned.
If you want to build or refresh your understanding of statistics, here's a fast and entertaining self-teaching course that's specially designed to reduce anxiety. Get ready to:
* Absorb statistics jargon and notation
* Figure odds in games of chance and other situations using probability principles
* Understand randomness and uncertainty
* Discover the right ways to obtain data and mine it for meaning
* Create and interpret tables and graphs
* Take a "final exam" and grade it yourself!
Statistics Demystified is a great springboard for more- advanced and more-specific statistics courses and subjects. Let it be your direct route to learning or brushing up on this essential topic.
About the Author
Stan Gibilisco is one of McGraw-Hill's most prolific and popular authors. His clear, reader-friendly writing style makes his electronics books accessible to a wide audience, and his background in mathematics and research makes him an ideal editor for professional handbooks. He is the author of the TAB Encyclopedia of Electronics for Technicians and Hobbyists, Teach Yourself Electricity and Electronics, and The Illustrated Dictionary of Electronics. Booklist named his McGraw-Hill Encyclopedia of Personal Computing a "Best Reference" of 1996.
Table of Contents
PART 1: STATISTICAL CONCEPTS
Chapter 2: Learning the Jargon
Chapter 4: Descriptive Measures
PART 2: STATISTICS IN ACTION
Chapter 6: Hypotheses, Prediction, and Regression
Chapter 8: Some Practical Problems
Suggested Additional References