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Applied univariate, bivariate, and multivariate statistics / Daniel J. Denis.

By: Material type: TextTextPublication details: New Jersey : Wiley, 2021.Edition: Second editionDescription: xxi, 551 pages : illustrations ; 26 cmISBN:
  • 9781119583042
Subject(s): LOC classification:
  • QA279 .D4657 2021
Summary: "This second edition improves greatly on the first edition by making the book more accessible to a wider audience, through minimizing theoretical or technical jargon and maximizing conceptual understanding with easy applied software examples. As a book for applied social science, only the absolute necessary mathematics are used in motivating conceptual development and applications. This allows researchers and their students to apply these methods quickly, efficiently, and with relative ease without having to wade through dense technical arguments. Assuming only minimal prior exposure to statistics, by completion the reader will have a solid intuitive grasp of introductory univariate to relatively advanced multivariate statistical methods and be able to apply them efficiently and effectively using software. This revised edition has been thoroughly vetted to correct errata found in the first edition, is more concise and easy to use, and will lend itself well for a textbook in applied courses at both the senior undergraduate and beginning graduate levels. The book will also serve as a useful reference for practitioners and researchers in the aforementioned fields"--
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Holdings
Item type Current library Collection Call number Vol info Status Date due Barcode
Main Short Main Short Martin Oduor-Otieno Library Non-fiction QA279 .D4657 2021 (Browse shelf(Opens below)) 31423/23 Available MOOL23090026
Main Short Main Short Martin Oduor-Otieno Library Non-fiction QA279 .D4657 2021 (Browse shelf(Opens below)) 31424/23 Available MOOL23090027

Includes index.

"This second edition improves greatly on the first edition by making the book more accessible to a wider audience, through minimizing theoretical or technical jargon and maximizing conceptual understanding with easy applied software examples. As a book for applied social science, only the absolute necessary mathematics are used in motivating conceptual development and applications. This allows researchers and their students to apply these methods quickly, efficiently, and with relative ease without having to wade through dense technical arguments. Assuming only minimal prior exposure to statistics, by completion the reader will have a solid intuitive grasp of introductory univariate to relatively advanced multivariate statistical methods and be able to apply them efficiently and effectively using software. This revised edition has been thoroughly vetted to correct errata found in the first edition, is more concise and easy to use, and will lend itself well for a textbook in applied courses at both the senior undergraduate and beginning graduate levels. The book will also serve as a useful reference for practitioners and researchers in the aforementioned fields"--

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