Synopses & Reviews
Master probability with Schaum'sthe high-performance study guide. It will help you cut study time, develop problem-solving skills, and achieve your personal best on exams!
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Synopsis
"Schaum's Outline of Probability, Second Edition", focuses on non-calculus probability theory, making it ideal for humanities and science majors who study practical statistics for problem solving. This popular Schaum's study guide provides new material on descriptive statistics, hi-square distribution, and more.
Synopsis
"Schaum's Outline of Probability," Second Edition, focuses on non-calculus probability theory, making it ideal for humanities and science majors who study practical statistics for problem solving. This popular Schaum's study guide provides new material on descriptive statistics, hi-square distribution, and more.
Synopsis
Confusing Textbooks? Missed Lectures?
Tough Test Questions?
Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.
This Schaum's Outline gives you
- Practice problems with full explanations that reinforce knowledge
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Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores!
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About the Author
Seymour Lipschutz is presently on the Mathematics faculty at Temple University. He formerly taught at the Polytechnic Institute of Brooklyn and was a visiting professor in the Computer Science Department of Brooklyn College.
Table of Contents
Set Theory.
Techniques of Counting.
Introduction to Probability.
Conditional Probability and Independence.
Random Variables.
Binomial, Normal and Poisson Distributions.
Markov Chains.
Appendices: Descriptive Statistics.
Chi-Square Distribution.