Synopses & Reviews
Confusing Textbooks? Missed Lectures? Not Enough Time? Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential 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.
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Schaum's Outlines-Problem Solved.
Synopsis
Schaum's has Satisfied Students for 50 Years.Now Schaum's Biggest Sellers are in New Editions!
For half a century, more than 40 million students have trusted Schaum's to help them study faster, learn better, and get top grades. Now Schaum's celebrates its 50th birthday with a brand-new look, a new format with hundreds of practice problems, and completely updated information to conform to the latest developments in every field of study.
Schaum's Outlines-Problem Solved
More than 300,000 sold!
This review for college courses in probability and statistics has been updated to reflect the latest course scope and sequences. This new edition expands the explanation of theorems (and advanced formulae), making it an especially authoritative reference for engineering and science majors.
About the Author
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.
Table of Contents
Schaum's Outline of Probability and Statistics, 3ed
Part I: Probability
1. Basic Probability
2. Random Variables and Probability Distributions
3. Mathematical Expectation
4. Special Probability Distributions
Part 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
11. Bayesian Methods