Schaum's Outline of Probability and Statistics

Master probability and statistics with "Schaum's" - the high-performance study guide. It will help you study efficiently, develop 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. If you don't have a lot of time but want to excel in class, use this book to: brush up before tests; find answers fast; study quickly and more effectively; and, get the big picture without spending hours poring over lengthy textbooks."Schaum's Outlines" give you the information your teachers expect you to know in a handy and succinct format--without overwhelming you with unnecessary detail. 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" let you study at your own pace and remind 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: 760 fully-worked problems with step-by-step solutions; hundreds of additional practice problems with answers; coverage of all course fundamentals; and, easy-to-understand methodology. If you want top grades and a thorough understanding of probability and statistics, this powerful study tool is the best tutor you can have! Chapters include: Basic Probability; Random Variables and Probability Distributions; Mathematical Expectation; Special Probability Distributions; Sampling Theory; Estimation Theory; Tests of Hypotheses and Significance; Curve Fitting, Regression, and Correlation; Analysis of Variance; and, Nonparametric Tests.

Table of Contents:
Part I: Probability. Chapter 1: Basic Probability. Chapter 2: Random Variables and Probability Distributions. Chapter 3: Mathematical Expectation. Chapter 4: Special Probability Distributions. Part II: Statistics. Chapter 5: Sampling Theory. Chapter 6: Estimation Theory. Chapter 7: Tests of Hypotheses and Significance. Chapter 8: Curve Fitting, Regression, and Correlation. Chapter 9: Analysis of Variance. Chapter 10: Nonparametric Tests. Appendices. Index. Index for Solved Problems.

About the Author :
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. 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.