9780071762496-0071762493-Schaum's Outline of Introduction to Probability and Statistics

Schaum's Outline of Introduction to Probability and Statistics

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ISBN-13: 9780071762496
ISBN-10: 0071762493
Edition: 1
Author: Seymour Lipschutz, John Schiller
Publication date: 2011
Publisher: McGraw Hill
Format: Paperback 384 pages
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Book details

ISBN-13: 9780071762496
ISBN-10: 0071762493
Edition: 1
Author: Seymour Lipschutz, John Schiller
Publication date: 2011
Publisher: McGraw Hill
Format: Paperback 384 pages

Summary

Schaum's Outline of Introduction to Probability and Statistics (ISBN-13: 9780071762496 and ISBN-10: 0071762493), written by authors Seymour Lipschutz, John Schiller, was published by McGraw Hill in 2011. With an overall rating of 3.8 stars, it's a notable title among other Applied (Reference, Mathematics, Study Guides, Study Guides & Workbooks) books. You can easily purchase or rent Schaum's Outline of Introduction to Probability and Statistics (Paperback) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.62.

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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