Self-Help Books from Cengage Learning PTR

Master Math, Probability

Master Math, Probability

ISBN 13: 9781435456563

ISBN 10: 1435456564

Author: Catherine A. Gorini

Pages: 304

Published: 03/03/2011

Print Book Price: $19.99 Add to cart

eBook Price: $9.44 Add to cart

eBook Download Instructions

Description
Master Math: Probability is a comprehensive reference guide that explains and clarifies the principles of probability in a simple, easy-to-follow style and format. Beginning with the most basic fundamental topics and progressing through to the more advanced, the book helps clarify probability using step-by-step procedures and solutions, along with examples and applications. A complete table of contents and a comprehensive index enable readers to quickly find specific topics, and the approachable style and format facilitate an understanding of what can be intimidating and tricky skills. Perfect for students studying probability and those who want to brush up on their probability skills.
Note*: If you are buying the e-book version of this product, any CD/DVD supplement files referenced throughout the book can be accessed for free at our Companion Downloads page.
Benefits
  • A new addition to the top selling "Master Math" series of books.
  • Includes coverage of topics such as sample space, permutations and combinations, conditional probability, independent events, random variables, expected value and expectation, and applications.
  • A very simple, easy-to-follow guide that uses clear and concise language and features practical problems with step-by-step solutions.
Author Bio
Catherine A. Gorini
Catherine A. Gorini, Ph.D., received her A.B. in mathematics from Cornell University, M.S. and Ph.D. in mathematics from the University of Virginia, and D.W.P. from Maharishi European University. She is Dean of Faculty and Professor of Mathematics at Maharishi University of Management. She is the editor of Geometry at Work and author of Facts On File Geometry Handbook. Her numerous awards for teaching include the Award for Distinguished College or University Teaching of Mathematics from the Mathematical Association of America.
cover image - Master Math, Probability
Table of Contents
1. Introduction to Probability and its Applications.
2. Definition of Probability.
3. Set Theory.
4. Permutations and Combinations.
5. Conditional Probability and Independence.
6. Random Variables.
7. Expected Value and Expectation.
8. The Law of Large Numbers.
9. Distributions.
10. Markov Chains.
11. Axioms of Probability.
12. Applications.
Sample Chapters