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Schaums Outline of Introduction to Probability and Statistics

Schaums Outline of Introduction to Probability and Statistics

Paperback Schaum's Outlines

By (author) Seymour Lipschutz, By (author) John J. Schiller

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  • Publisher: Schaum Outline Series
  • Format: Paperback | 384 pages
  • Dimensions: 206mm x 269mm x 23mm | 567g
  • Publication date: 1 November 2011
  • Publication City/Country: New York
  • ISBN 10: 0071762493
  • ISBN 13: 9780071762496
  • Sales rank: 361,345

Product description

The ideal review for your intro to probability course More than 40 million students have trusted Schaum's Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum's Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice. 387 solved problems Covers all probability fundamentals No calculus needed Supports and supplements the leading probability and statistics textbooks Appropriate for the following courses: Introduction to Probability and Statistics, Probability, Statistics, Introduction to Statistics Detailed explanations and practice problems in probability and statistics Comprehensive review of specialized topics in probability and statistics

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Author information

Seymour Lipschutz is on the mathematics faculty of Temple University. He has taught at the Polytechnic Institute of Brooklyn and was visiting professor in the computer science department of Brooklyn College. He received his Ph.D. in 1960 at the Courant Institute of mathematical Sciences of New York University. He is the author of Schaum's Outline of Beginning Linear Algebra, Schaum's Outline of Discrete Mathematics, and Schaum's Outline of Linear Algebra. John J. Schiller is an associate professor of mathematics at Temple University. He received his Ph.D. at the University of Pennsylvania and has published research papers in the areas of Riemann surfaces, discrete mathematics, and mathematical biology. He has also coauthored texts in finite mathematics, precalculus, and calculus.

Back cover copy

Master beginning probability and statistics with this simple-to-useguide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams! Students love Schaum's Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides. Get the edge on your classmates. Use Schaum's! If you don't have a lot of time but want to excel in this class, this book helps you: Brush up before tests Find answers fast Study quickly and more efficiently Get the big picture without spending hours poring over lengthy texts Schaum's Outlines give you the information your teachers expect you to know in a handy and succinct format--without overwhelming you with unnecessary details. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, Schaum's lets you study at your own pace and reminds you of all the important facts you need to remember--fast! And Schaum's are so complete, they're perfect for preparing for graduate or professional exams. Inside, you will find: Coverage of all course fundamentals 387 fully worked problems, including stpe-by-step solutions Hundreds more practice problems Clear expansions of all principal concepts you need in begging probability and statistics If you want top grades and a thorough understanding of introductory probability and statistics, this powerful study tool is the best tutor you can have!

Table of contents

1. Preliminary: Descriptive Statistics 2. Sets and Counting 3. Basic Probability 4. Conditional Probability and Independence 5. Random Variables 6. Binomial and Normal Distributions 7. Sampling Distributions 8. Confidence Intervals for a Single Population 9. Hypotheses Tests for a Single Population 10. Inference for Two Populations 11. Chi-Square Tests and Analysis of Variance