Additional information

Full Title

Probability Demystified 2/E 2nd Edition

Author(s)

Allan G. Bluman

Edition

2nd Edition

ISBN

9780071780988, 9780071780971

Publisher

McGraw-Hill

Format

PDF and EPUB

Description

Stack the odds in your favor for mastering probability Don’t leave your knowledge of probability to chance. Instead, turn to Probability Demystified, Second Edition, for learning fundamental concepts and theories step-by-step. This practical guide eases you into the subject of probability using familiar items such as coins, cards, and dice. As you progress, you will master concepts such as addition and multiplication rules, odds and expectation, probability distributions, and more. You’ll learn the relationship between probability and normal distribution, as well as how to use the recently developed Monte Carlo method of simulation. Detailed examples make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key ideas. It’s a no-brainer! You’ll learn about: Classical probability Game theory Actuarial science Addition rules Bayes’ theorem Odds and expectation Binomial distribution Simple enough for a beginner, but challenging enough for an advanced student, Probability Demystified, Second Edition, helps you master this essential subject.

Additional information

Full Title

Probability Demystified 2/E 2nd Edition

Author(s)

Bluman, Allan

Edition

2nd Edition

ISBN

9780071780971

Publisher

McGraw-Hill Professional Publishing

Format

PDF and EPUB

Description

Stack the odds in your favor for mastering probability Don’t leave your knowledge of probability to chance. Instead, turn to Probability Demystified, Second Edition, for learning fundamental concepts and theories step-by-step. This practical guide eases you into the subject of probability using familiar items such as coins, cards, and dice. As you progress, you will master concepts such as addition and multiplication rules, odds and expectation, probability distributions, and more. You’ll learn the relationship between probability and normal distribution, as well as how to use the recently developed Monte Carlo method of simulation. Detailed examples make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key ideas. It’s a no-brainer! You’ll learn about: Classical probability Game theory Actuarial science Addition rules Bayes’ theorem Odds and expectation Binomial distribution Simple enough for a beginner, but challenging enough for an advanced student, Probability Demystified, Second Edition, helps you master this essential subject.