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Probability and Statistical Inference

by Robert V. Hogg, Elliot A. Tanis, Dale L. Zimmerman

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About this book

<p><i>For one- or two-semester courses in Probability, Probability & Statistics, or Mathematical Statistics.</i></p> <p><br></p> <p><b>An authoritative introduction to an in-demand field</b></p> <p>Advances in computing technology - particularly in science and business - have increased the need for more statistical scientists to examine the huge amount of data being collected. Written by veteran statisticians, <b><i>Probability and Statistical Inference,</i> 10th Edition</b> emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. </p> <p> </p> <p>This applied introduction to probability and statistics reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. It is designed for a two-semester course, but it can be adapted for a one-semester course. A good calculus background is needed, but no previous study of probability or statistics is required.</p> <p><br></p> <p><b>013518939X / 9780135189399 PROBABILITY AND STATISTICAL INFERENCE, 10/e </b></p>

Details

Format
Hardcover
Pages
548
Publisher
Pearson
Language
EN
Edition
10
ISBN-13
9780135189399
ISBN-10
013518939X

Categories

Mathematics, Probability & Statistics