Schaum's Outline of Probability, Second Edition (Schaum's Outlines)
ISBN-13:
9780071755610
ISBN-10:
0071755616
Edition:
2
Author:
Seymour Lipschutz
Publication date:
2011
Publisher:
McGraw Hill
Format:
Paperback
320 pages
Category:
Applied
,
Study Guides
,
Study Guides & Workbooks
,
Mathematics
FREE US shipping
Book details
ISBN-13:
9780071755610
ISBN-10:
0071755616
Edition:
2
Author:
Seymour Lipschutz
Publication date:
2011
Publisher:
McGraw Hill
Format:
Paperback
320 pages
Category:
Applied
,
Study Guides
,
Study Guides & Workbooks
,
Mathematics
Summary
Schaum's Outline of Probability, Second Edition (Schaum's Outlines) (ISBN-13: 9780071755610 and ISBN-10: 0071755616), written by authors
Seymour Lipschutz, was published by McGraw Hill in 2011.
With an overall rating of 3.5 stars, it's a notable title among other
Applied
(Study Guides, Study Guides & Workbooks, Mathematics) books. You can easily purchase or rent Schaum's Outline of Probability, Second Edition (Schaum's Outlines) (Paperback) from BooksRun,
along with many other new and used
Applied
books
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And, if you're looking to sell your copy, our current buyback offer is $0.3.
Description
The ideal review for your 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.
- Outline format supplies a concise guide to the standard college course in probability
- 430 solved problems
- Supports all the major textbooks for Probability courses
- Clear, concise explanations of all Probability concepts
- Appropriate for the following courses: Elementary Probability & Statistics; Data Analysis; Finite Mathematics; Introduction to Mathematical Statistics; Mathematics for Biological Sciences; Introductory Statistics; Discrete Mathematics; Probability for Applied Science; Introduction to Probability Theory
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