書誌事項

Probability and statistics : Schaum's outlines

Murray R. Spiegel, John J. Schiller, R. Alu Srinivasan

(Schaum's outline series)

McGraw-Hill, c2013

4th ed

タイトル別名

Probability and statistics : Schaum's outlines : 897 fully solved problems, 20 problem-solving videos online

Schaum's outlines : probability and statistics

この図書・雑誌をさがす

注記

Includes indexes

内容説明・目次

内容説明

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.

目次

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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