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

Author: Alon Friedman
Publisher: Lanham : Rowman & Littlefield, [2016] ©2016
Edition/Format:   eBook : Document : EnglishView all editions and formats
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. It emphasizes concepts of statistical theory and data collection methodologies, but also extends to the topics of visualization creation and display, so that the reader will  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Friedman, Alon, 1966-
Statistics for library and information services
(DLC) 2015020574
(OCoLC)915943266
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Alon Friedman
ISBN: 9781442249936 1442249935
OCLC Number: 922640537
Description: 1 online resource.
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.
Responsibility: Alon Friedman.

Abstract:

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. It emphasizes concepts of statistical theory and data collection methodologies, but also extends to the topics of visualization creation and display, so that the reader will be able to better conduct statistical analysis and communicate findings. Don't miss the book's companion Web site at www.statisticsforlis.org.

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Dr. Friedman's book arrives at the right time as library and information professionals begin to grapple with the complexities of big data. This well-written and clearly organized primer will be a Read more...

 
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