Synopses & Reviews
DON'T ROLL THE DICE LEARNING PROBABILITY! Now anyone who ever flipped a coin, played cards, or placed a bet can grasp the principles that govern probability -- without formal training, unlimited time, or an Einstein IQ. In Probability Demystified, experienced math instructor Allan Bluman provides an illuminating and entertaining way to master chance, odds, and predictability.
With Probability Demystified, you learn 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 section to pinpoint weaknesses, and a 60-question "final exam" to reinforce the entire book.
If you have basic math and a little algebra, you can master probability. This fast and entertaining self-teaching course makes it fun and easy to:
- Learn probability theory with examples using familiar items such as coins, cards, and dice
- Discover how actuaries predict the likelihood of events
- Play games of chance with deeper understanding
- Construct a solid foundation for statistics
- Be better prepared for standardized tests
- Take a "final exam" and grade it yourself!
Simple enough for beginners and students but always challenging, Probability Demystified is the most interesting self-teaching tool or brush-up you can find!
Synopsis
Many people do not understand the basic concepts of probability, as evidenced by the proliferation of those participating in lotteries, horse racing, and gambling at casinos. But probability and statistics are becoming increasingly important in todays society. As the basic ideas are being taught in elementary schools through college, its important that everyone has a basic understanding of probability theory. Probability theory explains the happenings that occur due to chance. Although it is not possible to predict for certain the individual outcome of a chance process, it is possible to determine outcomes in the “long run,” and to predict the probability that something will eventually occur. This book will present the basics of probability in a non-rigorous manner. Only an understanding of arithmetic and some basic algebra are necessary to learn these ideas. No high-powered mathematical notation or formal proofs will be used, rather the concepts will be developed from examples using coins, dice, cards, and other common probability devices.
About the Author
Allan G. Bluman is Professor of Mathematics at Community College of Allegheny County, near Pittsburgh. For the McKeesport and New Kensington Campuses of Pennsylvania State University, he has taught teacher-certification and graduate education statistics courses. Prior to his college teaching, he taught mathematics at a junior high school.
Professor Bluman received his B.S. from California State College in California, Penn.; his M.Ed. from the University of Pittsburgh; and, in 1971, his Ed.D., also from the University of Pittsburgh. His major field of study was mathematics education.
In addition to Elementary Statistics: A Step by Step Approach, Third Edition, and Elementary Statistics: A Brief Version, the author has published several professional articles and the Modern Math Fun Book (Cuisenaire Publishing Company). He has spoken and presided at national and local mathematics conferences and has served as newsletter editor for the Pennsylvania State Mathematics Association of Two-Year Colleges. He is a member of the American Statistical Association, the National Council of Teachers of Mathematics, and the Mathematics Council of Western Pennsylvania.Al Bluman is married and has two children. His hobbies include writing, bicycling, and swimming.
Table of Contents
Chapter 1 – Basic Concepts of Probability
Chapter 2 – Sample Spaces
Chapter 3 – The Addition Rules
Chapter 4 – The Multiplication Rules
Chapter 5 – Odds and Expectation
Chapter 6 – The Counting Rules
Chapter 7 – The Binomial Distribution
Chapter 8 – Other Probability Distributions
Chapter 9 – The Normal Distribution
Chapter 10– Simulation
Final Exam
Answers to Final Exam
Appendix: Bayes'Theorem
Index