
Schaum's Outline of Probability and Statistics
897 Solved Problems + 20 Videos
Schaum Outline Series (Publisher)
4th Edition
Published on 16. December 2012
Book
Paperback/Softback
432 pages
978-0-07-179557-9 (ISBN)
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.
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.
More details
Edition
4th edition
Language
English
Place of publication
New York
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Illustrations
132 Illustrations
Dimensions
Height: 280 mm
Width: 210 mm
Thickness: 24 mm
Weight
1055 gr
ISBN-13
978-0-07-179557-9 (9780071795579)
Schweitzer Classification
Other editions
Additional editions

John Schiller | R. Alu Srinivasan | Murray Spiegel
Schaum's Outline of Probability and Statistics, 4th Edition
760 Solved Problems + 20 Videos
E-Book
11/2012
1st Edition
McGraw-Hill Education
€38.39
Available for download
Previous edition

John Schiller | R. Alu Srinivasan | Murray Spiegel
Schaum's Outline of Probability and Statistics, 3/E
Book
09/2008
3rd Edition
McGraw-Hill Professional
€14.84
Article exhausted; check for reprint
Persons
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.
Alu Srinivasan is Professor of Mathematics at Temple University. He received an M.S. in statistics and a Ph.D. in Mathematics from Wayne State University, and was Chair of Temple's Mathematics Department from 1990 to 1998. His primary research interests are in applied and mathematical statistics, combinatorics and probability. He has published some seventy papers in these areas and has supervised a dozen Ph.D. dissertations in statistical inference and biostatistics.
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.
Alu Srinivasan is Professor of Mathematics at Temple University. He received an M.S. in statistics and a Ph.D. in Mathematics from Wayne State University, and was Chair of Temple's Mathematics Department from 1990 to 1998. His primary research interests are in applied and mathematical statistics, combinatorics and probability. He has published some seventy papers in these areas and has supervised a dozen Ph.D. dissertations in statistical inference and biostatistics.
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.
Content
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
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