Schaum's Outline of Probability, Third Edition

Study smarter and stay on top of your probability course with the bestselling Schaum’s Outline—now with the NEW Schaum''s app and website!

Schaum’s Outline of Probability, Third Edition is the go-to study guide for help in probability courses. It''s ideal for undergrads, graduate students and professionals needing a tool for review. With an outline format that facilitates quick and easy review and mirrors the course in scope and sequence, this book helps you understand basic concepts and get the extra practice you need to excel in the course. Schaum''s Outline of Probability, Third Edition supports the bestselling textbooks and is useful for a variety of classes, including Elementary Probability and Statistics, Data Analysis, Finite Mathematics, and many other courses.

You’ll find coverage on finite and countable sets, binomial coefficients, axioms of probability, conditional probability, expectation of a finite random variable, Poisson distribution, and probability of vectors and Stochastic matrices. Also included: finite Stochastic and tree diagrams, Chebyshev’s inequality and the law of large numbers, calculations of binomial probabilities using normal approximation, and regular Markov processes and stationary state distributions.

Features

NEW to this edition: the new Schaum''s app and website!NEW to this edition: 25 NEW problem-solving videos online430 solved problemsOutline format to provide a concise guide to the standard college course in probabilityClear, concise explanations of probability conceptsSupports these major texts: Elementary Statistics: A Step by Step Approach (Bluman), Mathematics with Applications (Hungerford), and Discrete Mathematics and Its Applications (Rosen)Appropriate for the following courses: Elementary Probability and Statistics, Data Analysis, Finite Mathematics, Introduction to Mathematical Statistics, Mathematics for Biological Sciences, Introductory Statistics, Discrete Mathematics, Probability for Applied Science, and Introduction to Probability Theory