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9780898715750 Academic Inspection Copy

Basic Concepts of Probability and Statistics

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First published in 1970, the second edition of Basic Concepts of Probability and Statistics serves as an introductory textbook to these topics for readers with knowledge only of high school algebra and precalculus. Among the topics covered that readers may not expect in an elementary text are optimal design, survey sampling, and a statement and proof of the Fundamental (NeymanPearson) Lemma for hypothesis testing. A wide range of applications also are covered, including manufacturing, biology, demographics, political science, and sociology. Each section of the mathematically rigorous text offers extensive problem sets, with selected answers provided at the back of the book.
Preface to the Classics Edition Preface to the Second Edition Preface to the First Edition Part I: Probability. Chapter 1: Probability Models Chapter 2: Sampling Chapter 3: Product Models Chapter 4: Conditional Probability Chapter 5: Random Variables Chapter 6: Special Distributions Chapter 7: Multivariate Distributions Part II: Statistics. Introduction to Statistics Chapter 8: Estimation Chapter 9: Estimation in Measurement and Sampling Models Chapter 10: Optimum Methods of Estimation Chapter 11: Tests of Significance Chapter 12: Tests for Comparative Experiments Chapter 13: Concept of Power Tables Selected answers to problems Index Example Index.
An introductory textbook to probability and statistics for readers with knowledge only of high school algebra and precalculus. A wide range of topics and applications are covered and each section of the mathematically rigorous text offers extensive problem sets, with selected answers provided at the back of the book.
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