Stats Data And Models Global Edition
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Stats Data And Models Global Edition
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Author : Richard D. De Veaux
language : en
Publisher: Pearson Higher Ed
Release Date : 2021-01-22
Stats Data And Models Global Edition written by Richard D. De Veaux and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-22 with categories.
For courses in Introductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humour Inspired by the 2016 GAISE Report revision, Stats: Data and Models, 5th Edition by De Veaux, Velleman, and Bock uses innovative strategies to help students think critically about data, while maintaining the book's core concepts, coverage, and most importantly, readability. The authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition’s approach to teaching Stats: Data and Models is revolutionary, yet it retains the book's lively tone and hallmark pedagogical features such as its Think/Show/Tell Step-by-Step Examples. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. Samples Download the detailed table of contents Preview sample pages from Stats: Data and Models, Global Edition
Stats
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Author : Richard D. De Veaux
language : en
Publisher: Pearson College Division
Release Date : 2012-08-22
Stats written by Richard D. De Veaux and has been published by Pearson College Division this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-22 with Mathematics categories.
ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. Packages Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase. Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code. Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase. -- Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourages students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses. The text is appropriate for a one-or-two semester introductory statistics course and includes advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.
Stats
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Author : Richard D. De Veaux
language : en
Publisher:
Release Date : 2020
Stats written by Richard D. De Veaux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Mathematical statistics categories.
Stats
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Author : Richard D. De Veaux
language : en
Publisher:
Release Date : 2019
Stats written by Richard D. De Veaux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Mathematical statistics categories.
For courses in Introductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humor Inspired by the 2016 GAISE Report revision, Stats: Data and Models, 5th Edition by De Veaux/Velleman/Bock uses innovative strategies to help students think critically about data -- while maintaining the book's core concepts, coverage, and most importantly, readability. By using technology and simulations to demonstrate variability at critical points throughout the course, the authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition's approach to teaching Stats: Data and Models is revolutionary, yet it retains the book's lively tone and hallmark pedagogical features such as its Think/Show/Tell Step-by-Step Examples. Also available with MyLab Statistics MyLab(tm) Statistics is the teaching and learning platform that empowers instructors to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Statistics, search for: 0135256216 / 9780135256213 Stats: Data and Models Plus MyLab Statistics with Pearson eText - Access Card Package Package consists of: 013516382X / 9780135163825 Stats: Data and Models 0135189691 / 9780135189696 MyLab Statistics with Pearson eText - Standalone Access Card - for Stats: Data and Models
Stats Data And Models
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Author : Richard D. De Veaux
language : en
Publisher: Addison-Wesley
Release Date : 2008-12-10
Stats Data And Models written by Richard D. De Veaux and has been published by Addison-Wesley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-10 with Mathematics categories.
Stats Pearson New International Edition
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Author : Richard D. De Veaux
language : en
Publisher:
Release Date : 2013-07-29
Stats Pearson New International Edition written by Richard D. De Veaux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-29 with Mathematical statistics categories.
Stats: Data and Models, Third Edition, will intrigue and challenge students by encouraging them to think statistically and by emphasizing how statistics helps us understand the world. Praised by students and instructors alike for its readability and ease of comprehension, this text focuses on statistical thinking and data analysis. The authors draw from their wealth of consulting experience to craft compelling examples, which encourage students to learn how to reason with data. This book is organized into short chapters that concentrate on one topic at a time, offering instructors maximum flexibility in planning their courses.
Stats Data Models Statistics S Card Pkg
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Author : ANONIMO
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 2007-04-01
Stats Data Models Statistics S Card Pkg written by ANONIMO and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-01 with Education categories.
Stats
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Author : Richard D. De Veaux
language : en
Publisher: Addison-Wesley Longman
Release Date : 2008-12-27
Stats written by Richard D. De Veaux and has been published by Addison-Wesley Longman this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-27 with Mathematics categories.
Stats
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Author : Richard D. De Veaux
language : en
Publisher:
Release Date : 2022
Stats written by Richard D. De Veaux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Practical Statistics For Data Scientists
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Author : Peter Bruce
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-10
Practical Statistics For Data Scientists written by Peter Bruce and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-10 with Computers categories.
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data