Schaum's Outline of Probability and Statistics
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Schaum's Outline of Probability and Statistics

3.79 (140 ratings by Goodreads)
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Description

Tough Test Questions? Missed Lectures? Not Enough Time?Fortunately, there's Schaum's. This all-in-one-package includes more than 750 fully solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 20 detailed videos featuring Math instructors who explain how to solve the most commonly tested problems--it's just like having your own virtual tutor! You'll find everything you need to build confidence, skills, and knowledge for the highest score possible.

More than 40 million students have trusted Schaum'sto help them succeed in the classroom and on exams.Schaum's is the key to faster learning and highergrades in every subject. Each Outline presents all theessential 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

897 fully solved problemsConcise explanations of all course fundamentalsInformation on conditional probability andindependence, random variables, binominal and normal distributions, sampling distributions, and analysis of variance


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!

Schaum's Outlines--Problem Solved.
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Product details

  • Paperback | 432 pages
  • 211 x 274 x 21mm | 644g
  • MCGRAW-HILL Professional
  • United States
  • English
  • 4th edition
  • 132 Illustrations, unspecified
  • 007179557X
  • 9780071795579
  • 137,538

Table of contents

Part I: Probability
1. Basic Probability
2. Random Variables and Probability Distributions
3. Mathematical Expectation
4. Special Probability DistributionsPart II: Statistics
5. Sampling Theory
6. Estimation Theory
7. Tests of Hypotheses and Significance
8. Curve Fitting, Regression, and Correlation
9. Analysis of Variance
10. Nonparametric Tests
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About John Schiller

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 biology. He has also coauthored texts in finite mathematics, precalculus, and calculus.



The Late MURRAY R. SPIEGEl received the M.S degree in Physics and the Ph.D. in Mathematics from Cornell University. He had positions at Harvard University, Columbia University, Oak Ridge and Rensselaer Polytechnic Insitute, and served as a mathematical consultant at several large Companies. His last Position was professor and Chairman of mathematics at the Rensselaer Polytechnic Institute Hartford Graduate Center. He was interested in most branches of mathematics at the Rensselaer polytechnic Institute, Hartford Graduate Center. He was interested in most branches of mathematics, especially those which involve applications to physics and engineering problems. He was the author of numerous journal articles and 14 books on various topics in mathematics.
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Rating details

140 ratings
3.79 out of 5 stars
5 31% (43)
4 36% (50)
3 20% (28)
2 9% (13)
1 4% (6)
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