Introductory Statistics

Introductory Statistics

Author: Robert Gould

Publisher:

Published: 2016-01-15

Total Pages: 736

ISBN-13: 9780321823656

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We live in a data-driven world, and the goal of this Canadian text is to teach students how to access and analyze these data critically. Canadian authors Jim Stallard and Michelle Boué emphasize that learning statistics extends beyond the classroom to an essential life skill, and want Canadian students to develop a "data habit of mind." Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students. KEY TOPICS: Introduction to Data; Picturing Variation with Graphs; Numerical Summaries of Centre and Variation; Regression Analysis: Exploring Associations between Variables; Modelling Variation with Probability; Modeling Random Events: The Normal and Binomial Models; Survey Sampling and Inference; Hypothesis Testing for Population Proportions; Inferring Population Means; Associations between Categorical Variables; Multiple Comparisons and Analysis of Variance; Experimental Design: Controlling Variation; Inference without Normality;Inference for Regression MARKET: A textbook suitable for all introductory statistics courses


Discovering Statistics Using R

Discovering Statistics Using R

Author: Andy Field

Publisher: SAGE

Published: 2012-03-07

Total Pages: 994

ISBN-13: 144628915X

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Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field′s books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you′re doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect. Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Given this book′s accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.


Discovering Statistics

Discovering Statistics

Author: Daniel T. Larose

Publisher: Macmillan Higher Education

Published: 2011-12-09

Total Pages: 869

ISBN-13: 1464118167

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Discovering Statistics balances computational methods and data interpretation. By emphasizing the relevance of statistics in today’s world, Larose helps students think critically about statistics and develop their own statistical sense. The text offers high interest and relevant examples and exercises with a large variety of contemporary applications. This popular text includes a number of features to build critical thinking skills and emphasize active learning (an important recommendation in the GAISE guidelines). Student motivation remains the guiding principle of the Second Edition. It provides the topic coverage and innovative pedagogy that support teaching and learning objectives while capturing students’ attention through his friendly, conversational writing style.


Essential Statistics, Global Edition

Essential Statistics, Global Edition

Author: Robert N. Gould

Publisher: Pearson Higher Ed

Published: 2016-11-14

Total Pages: 586

ISBN-13: 1292161280

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Exploring the World through Data We live in a data-driven world, and the goal of this text is to teach students how to access and analyse these data critically. Authors Rob Gould, Colleen Ryan, and Rebecca Wong want students to develop a "data habit of mind" because learning statistics is an essential life skill that extends beyond the classroom. Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students. 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.


The Practice of Statistics in the Life Sciences

The Practice of Statistics in the Life Sciences

Author: Brigitte Baldi

Publisher: WH Freeman

Published: 2013-12-27

Total Pages: 0

ISBN-13: 9781464175367

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This remarkably engaging textbook is the perfect learning resource for undergraduate and postgraduate biology students studying statistics and data analysis. Part of the best-selling Moore family of statistics books, it covers essential statistical topics with examples and exercises drawn from across the field of life sciences, including disciplines such as nursing, public health, and allied health. Based on David Moore’s classic The Basic Practice of Statistics, this textbook applies the bestseller’s signature emphasis on statistical thinking, real data and what statisticians actually do, to the world of life sciences, helping engage students and underlining how statistics can directly apply to the projects they’re working on. The new edition includes new and updated exercises, examples, and samples of real data, as well as an expanded range of media tools for students and instructors. This textbook is also available on LaunchPad.


Discovering Statistics Brief Version

Discovering Statistics Brief Version

Author: Daniel T. Larose

Publisher: Macmillan Higher Education

Published: 2010-06-11

Total Pages: 681

ISBN-13: 1429293497

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Based on Daniel Larose’s more comprehensive Discovering Statistics, this new text provides a briefer, less expensive option for the traditional computational introduction to statistics. It is an ideal text for instructors who want their students to understand computational methods, while also developing statistical reasoning and critical thinking skills.