Chances Are

Chances Are : A Primer on Probability

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For courses in Introductory Statistics (algebra-based) or Statistical Methods for the Social Sciences. This friendly, informative reference is the only book on probability available at this level-i.e., it does not require a calculus background or even algebra to understand. Ideal when used as a supplement on probability in an introductory Statistics, Finite Mathematics or Liberal Arts Math course. It uses easy-to-understand language and examples that foster an appreciation for probability in our daily lives. Its goal is to present concrete examples in probability theory that will be useful and interesting to the student.show more

Product details

  • Paperback | 120 pages
  • 174 x 232 x 10mm | 181.44g
  • Pearson Education (US)
  • Pearson
  • Upper Saddle River, NJ, United States
  • English
  • 0130472999
  • 9780130472991

Back cover copy

Chances Are: A Primer on Probability is an exciting new book that will appeal to two groups of people: the layman who wishes to increase his/her knowledge of probability, and the college student who needs further explanations on probability--a topic in his/her mathematics studies. Chances Are is full of real world-based topics that are divided conventionally, but the examples are from "everyday life," including games of chance, insurance rates, lottery expectations, family gender composition, and other interesting settings for probability calculations. It's these everyday examples that make understanding probability and its importance intriguing and exciting. Neither algebra nor calculus is required in reading this book or doing the problems presented.show more

About Karen C. Burke

Susan Wagner, Ph.D, has been teaching mathematics for over 40 years. She is currently Dean of the Mathematics, Science, and Engineering Division at the Annandale Campus of Northern Virginia Community College.show more

Table of contents

Introduction 1. The Numbers of Probability 2. Calculating Simple Probabilities 3. Compound Probabilities 4. Conditional Probability 5. Counting Methods 6. Probability Distributions and Expectation 7. Problems for Review Solved Problemsshow more

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