Stats: Data and Models, Global Edition
Stats: Data and Models, Global Edition
For courses inIntroductory Statistics.
Encouragesstatistical thinking using technology, innovative methods, and a sense of humor
Inspired by the 2016GAISE Report revision, Stats: Data and Models, 5th Edition byDe Veaux, Velleman, and Bock uses innovative strategies to help students thinkcritically about data, while maintaining the book's core concepts, coverage,and most importantly, readability.
The authors make iteasier for instructors to teach and for students to understand more complicatedstatistical concepts later in the course (such as the Central Limit Theorem).In addition, students get more exposure to large data sets and multivariatethinking, which better prepares them to be critical consumers of statistics inthe 21st century.
The 5th Edition's approachto teaching Stats: Data and Models is revolutionary,yet it retains the book's lively tone and hallmark pedagogical features such asits Think/Show/Tell Step-by-Step Examples.
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MyLabStatistics is the teaching and learning platform that empowers you to reachevery student. By combining trusted author content with digital tools and aflexible platform, MyLab Statistics personalizes the learning experience andimproves results for each student. With MyLab Statistics and StatCrunch, anintegrated web-based statistical software program, students learn the skillsthey need to interact with data in the real world.- Buch 99,40 €
- eBook (Kortext PDF) 58,10 €
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Artikelbeschreibung
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.