The Statistics Problem Solver

The Statistics Problem Solver

A Complete Solution Guide to Any Textbook

Book - 1994
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The Problem Solvers are an exceptional series of books that are thorough, unusually well-organized, and structured in such a way that they can be used with any text. No other series of study and solution guides has come close to the Problem Solvers in usefulness, quality, and effectiveness. Educators consider the Problem Solvers the most effective series of study aids on the market. Students regard them as most helpful for their school work and studies. With these books, students do not merely memorize the subject matter, they really get to understand it. Each Problem Solver is over 1,000 pages, yet each saves hours of time in studying and finding solutions to problems. These solutions are worked out in step-by-step detail, thoroughly and clearly. Each book is fully indexed for locating specific problems rapidly. Exceptionally useful for all persons taking courses in this field. The subject matter is thoroughly developed, beginning with basic probability and extending through binomial, normal, joint, discrete, and continuous distributions. Other sections deal with sampling, confidence intervals, hypothesis testing, regression, and correlation analysis. An extensive number of applications are included.
Publisher: New Jersey : Research and Education Association, c1994
ISBN: 9780878915156
Branch Call Number: Science & Nature 519.5 Sta
Additional Contributors: Research and Education Association


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Jun 30, 2012

This is a really helpful and complete guide to statistics. The book starts with a review of (or introduction to!) permutations and combinations and continues to conditional probability, distributions, sampling, and parametrics. The only poorly covered topic--in my opinion--was Bayes' Theorm, which directly followed the review of conditional probability. If you are looking for an in depth review of this special case conditional probability theorm, this book isn't for you (only had 3 practice problems in the Bayes' Theorm section). But, overall, this was a great guide!


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