Rabu, 23 Juni 2010

[Y881.Ebook] Free Ebook Introductory Statistics: A Conceptual Approach Using R, by William B. Ware, John M. Ferron, Barbara M. Miller

Free Ebook Introductory Statistics: A Conceptual Approach Using R, by William B. Ware, John M. Ferron, Barbara M. Miller

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Introductory Statistics: A Conceptual Approach Using R, by William B. Ware, John M. Ferron, Barbara M. Miller

Introductory Statistics: A Conceptual Approach Using R, by William B. Ware, John M. Ferron, Barbara M. Miller



Introductory Statistics: A Conceptual Approach Using R, by William B. Ware, John M. Ferron, Barbara M. Miller

Free Ebook Introductory Statistics: A Conceptual Approach Using R, by William B. Ware, John M. Ferron, Barbara M. Miller

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Introductory Statistics: A Conceptual Approach Using R, by William B. Ware, John M. Ferron, Barbara M. Miller

    This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package. Key features include the following.

    • Conceptual Focus – The focus throughout is more on conceptual understanding and attainment of statistical literacy and thinking than on learning a set of tools and procedures.
    • Problems and Cases – Chapters and sections open with examples of situations related to the forthcoming issues, and major sections ends with a case study. For example, after the section on describing relationships between variables, there is a worked case that demonstrates the analyses, presents computer output, and leads the student through an interpretation of that output.
    • Continuity of Examples – A master data set containing nearly all of the data used in the book’s examples is introduced at the beginning of the text. This ensures continuity in the examples used across the text.
    • Companion Website – A companion website contains instructions on how to use R, SAS, and SPSS to solve the end-of-chapter exercises and offers additional exercises.
    • Field Tested – The manuscript has been field tested for three years at two leading institutions.

    • Sales Rank: #724889 in Books
    • Brand: Brand: Routledge
    • Published on: 2012-12-19
    • Released on: 2013-02-08
    • Format: Unabridged
    • Original language: English
    • Number of items: 1
    • Dimensions: 10.00" h x 1.18" w x 7.00" l, .0 pounds
    • Binding: Paperback
    • 520 pages
    Features
    • Used Book in Good Condition

    About the Author

    William B. Ware is Professor at the University of North Carolina at Chapel Hill, USA.

    John M. Ferron is Professor at the University of South Florida, USA.

    Barbara M. Miller is Associate Professor at Elon University, USA.

    Most helpful customer reviews

    2 of 2 people found the following review helpful.
    Intro to Stats with R
    By Greg
    Concepts are explained at an easy to understand level. Each chapter has supplemental activities with downloadable data files to help the reader get a hands on feel with applying their new learning.

    0 of 0 people found the following review helpful.
    Just Starting Out
    By Matthew T John
    I am just starting out in the book... Four chapters deep but I like it. It speaks in a clear tone and it easier to understand then most statistics books. I wish they would walk you through how to do what they are describing in the book, in R more...

    0 of 1 people found the following review helpful.
    This book is great as it explains well about difficult concepts of statistical ...
    By Heejun Kim
    This book is great as it explains well about difficult concepts of statistical approaches. It also gives good supports for R scripts and basics as well. I love this book. However, this book might not satisfy ones who are more interested in calculus and equations. In short, this is perfect for getting familiar with statistics and R.

    See all 4 customer reviews...

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