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Introduction to Probability and Statistics 14th Edition, ISBN-13: 978-1133103752
Home Mathematics Introduction to Probability and Statistics 14th Edition, ISBN-13: 978-1133103752
Introduction to Probability by David F. Anderson, ISBN-13: 978-1108415859
Introduction to Probability by David F. Anderson, ISBN-13: 978-1108415859 $50.00 Original price was: $50.00.$14.99Current price is: $14.99.
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Introduction to Mathematical Statistics 8th Edition, ISBN-13: 978-0134686998
Introduction to Mathematical Statistics 8th Edition, ISBN-13: 978-0134686998 $50.00 Original price was: $50.00.$19.99Current price is: $19.99.

Introduction to Probability and Statistics 14th Edition, ISBN-13: 978-1133103752

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SKU: introduction-to-probability-and-statistics-14th-edition-isbn-13-978-1133103752 Category: Mathematics Tags: 14th edition, Introduction to Probability and Statistics, Introduction to Probability and Statistics 14th Edition, ISBN-13: 978-1133103752, William Mendenhall
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Description

Introduction to Probability and Statistics 14th Edition by William Mendenhall, ISBN-13: 978-1133103752
[PDF eBook eTextbook]

744 pages
Publisher: Duxbury Press; 14 edition (January 1, 2012)
Language: English
ISBN-10: 1133103758
ISBN-13: 978-1133103752

Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, Fourteenth Edition, blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts–and see their relevance to your everyday life. The new edition retains the text’s straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology–including computational software and interactive visual tools–to help you master statistical reasoning and skillfully interpret statistical results. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistical procedures as they explain how to describe real sets of data, what statistical tests mean in terms of practical application, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Statistics can be an intimidating course, but with this text you will be well prepared. With its thorough explanations, insightful examples, practical exercises, and innovative technology features, this text equips you with a firm foundation in statistical concepts, as well as the tools to apply them to the world around you.

About the Author

Robert J. Beaver graduated from Bloomsburg State Teachers College (now Bloomsburg University) in 1959. In 1964, he completed an MS in Mathematics from Bucknell University and enrolled in the graduate program in Statistics chaired by William Mendenhall at the University of Florida. After completing a PhD in Statistics with a minor in Mathematics, Beaver took the position of Assistant Professor at the newly formed Department of Statistics headed by F. N. David at the University of California, Riverside. Dr. Beaver spent his entire career at Riverside, moving through the ranks to Full Professor. His research areas included paired comparisons and skewed distributions including the skewed normal, skewed Cauchy, and skewed logistic. During his time at Riverside, Beaver served as chairman of the Department of Statistics as well as chairman of the faculty of the College of Natural and Agricultural Sciences. After 35 years at Riverside, he retired in 2005 as Professor Emeritus and Statistician. Beaver has been an author for Cengage since 1966, authoring and co-authoring various Study Guides and textbooks with William Mendenhall and other authors. He and his wife Barbara have two children and four grandchildren.

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Reviews (2)

2 reviews for Introduction to Probability and Statistics 14th Edition, ISBN-13: 978-1133103752

  1. Chloe Jenkins (verified owner) – June 30, 2024

    Rated 4 out of 5

    Efficient service, eBook delivered quickly.

  2. Ava Myers (verified owner) – July 15, 2024

    Rated 4 out of 5

    Super easy process and fast delivery—thank you!

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