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Statistics for library and information services : a primer for using open source R software for accessibility and visualization / Alon Friedman.

By: Friedman, Alon, 1966-.
Material type: TextTextDescription: xvi, 355 pages : illustrations (some color) ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781442249929; 1442249927.Subject(s): Amerika Haus Berlin Video Lending Library | Information science -- Statistical methods | Library statistics | R (Computer program language) | Information visualization | Information science -- Statistical methods | Information visualization | Library statistics | R (Computer program language) | Statistik | Auskunftsdienst | R ProgrammAdditional physical formats: Ebook version :: No titleDDC classification: 020.72/7 LOC classification: Z669.8 | .F75 2016
Contents:
Introduction -- Research design -- Data (types and collection methods) -- How to run R -- Descriptive statistics -- Bivariate statistics -- Probability theory -- Random variables and probability distributions -- Sampling distributions -- Confidence interval estimation -- Fundamentals of hypothesis testing -- Correlation and regression -- Analysis of variances and chi-square tests -- Time series and predictive analytics -- Visualization display -- Advanced visualization display -- Applying visualization to statistics analysis -- Appendix A. Frequency used formulas used in this book -- Appendix B. Statistics tables (Z score and critical values for student's T distribution) -- Appendix C. Frequency R commands.
Summary: Statistics for Library and Information Services, written for non-statisticians, provides logical, user-friendly, and step-by-step instructions to make statistics more accessible for students and professionals in the field of Information Science. Including full-colour illustrations on how to use R for the statistical model, the five main sections of this book: introduce research design and data collection, describe basic statistical concepts, including descriptive, bivariate, time series and regression analyses, cover the subject of visualization creation Open Source R, cover decision making from the analysis, provide examples and references Every chapter illustrates how to use Open Source R and features two subsections for the major ideas of the chapter (statistical model and visual representation). The statistical model captures the main statistical formulas/theories, while the visual representation addresses the subject of the types of visualization that are produced from the statistical analysis model covered in that particular chapter. The last part of each chapter contains exercises that the student/professional will be able to solve and answer. Each exercise includes fill-in-the-blank and multiple-choice questions. Don't miss the book's companion Web site at www.statisticsforlis.org.
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Item type Current location Call number Status Date due Barcode
Two week reserve University of Texas At Tyler
Reserves Desk - Circulation
Z669.8 .F75 2016 (Browse shelf) Available 0000002253177

Includes bibliographical references and index.

Introduction -- Research design -- Data (types and collection methods) -- How to run R -- Descriptive statistics -- Bivariate statistics -- Probability theory -- Random variables and probability distributions -- Sampling distributions -- Confidence interval estimation -- Fundamentals of hypothesis testing -- Correlation and regression -- Analysis of variances and chi-square tests -- Time series and predictive analytics -- Visualization display -- Advanced visualization display -- Applying visualization to statistics analysis -- Appendix A. Frequency used formulas used in this book -- Appendix B. Statistics tables (Z score and critical values for student's T distribution) -- Appendix C. Frequency R commands.

Statistics for Library and Information Services, written for non-statisticians, provides logical, user-friendly, and step-by-step instructions to make statistics more accessible for students and professionals in the field of Information Science. Including full-colour illustrations on how to use R for the statistical model, the five main sections of this book: introduce research design and data collection, describe basic statistical concepts, including descriptive, bivariate, time series and regression analyses, cover the subject of visualization creation Open Source R, cover decision making from the analysis, provide examples and references Every chapter illustrates how to use Open Source R and features two subsections for the major ideas of the chapter (statistical model and visual representation). The statistical model captures the main statistical formulas/theories, while the visual representation addresses the subject of the types of visualization that are produced from the statistical analysis model covered in that particular chapter. The last part of each chapter contains exercises that the student/professional will be able to solve and answer. Each exercise includes fill-in-the-blank and multiple-choice questions. Don't miss the book's companion Web site at www.statisticsforlis.org.

Author notes provided by Syndetics

Alon Friedman is an Assistant Professor at the School of Information at the University of South Florida. He teaches Introduction to Visualization and Big Data to undergraduate and graduate students. He taught introductory and advanced statistics undergraduate, graduate, and PhD students for 10 years across the New York City region. His research interests and expertise focus on classification and visualization using Open Source R. Alon also has worked as a web programmer in NYC and Tel Aviv.

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