Introduction to Probability and Statistics Metric Edition | 15th Edition

William Mendenhall/Robert J. Beaver/Barbara M. Beaver
 Introduction to Probability and Statistics Metric Edition 15th Edition by William Mendenhall/Robert J. Beaver/Barbara M. Beaver
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ISBN: 9780357699904
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International WebAssign for Mendenhall/Beaver/Beaver's Introduction to Probability and Statistics, Metric Edition, 12 months Instant Access

International WebAssign for Mendenhall/Beaver/Beaver's Introduction to Probability and Statistics, Metric Edition, 12 months Instant Access

ISBN-13: 9780357120484
WebAssign for Mendenhall/Beaver/Beaver's Introduction to Probability and Statistics, 15th Edition, Metric Edition is a flexible and fully customizable online instructional solution that puts powerful tools in the hands of instructors, empowering you to deploy assignments, instantly assess individual student and class performance, and help your students master the course concepts. With WebAssign’s powerful digital platform and Mendenhall/Beaver/Beaver's Introduction to Probability and Statistics specific content, you can tailor your course with a wide range of assignment settings, add your own questions and content and access student and course analytics and communication tools.
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About This Product

Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS, 15th Edition, Metric Edition continues to blend the best of its proven, error-free coverage with new innovations. Written for the traditional Introductory Statistics course, the book takes advantage of modern technology--including computational software and graphing calculators--to facilitate statistical reasoning as well as the interpretation of statistical results. In addition to showing how to apply statistical procedures, the authors explain how to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. The new edition strives to simplify the language of the exposition, examples and exercises, while retaining the statistical integrity that has made this text a market leader--and builds upon this tradition of excellence with new technology integration.