Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


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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: Material type: TextTextPublication details: Lanham : Rowman & Littlefield, ©2016.Description: xvi, 355 p. : illustrations (some color) ; 24 cmISBN:
  • 9781442249929 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 23 020.727 F911
Contents:
1. Introduction -- 2. Research design -- 3. Data (types and collection methods) -- 4. How to run R -- 5. Descriptive statistics -- 6. Bivariate statistics -- 7. Probability theory -- 8. Random variables and probability distributions -- 9. Sampling -- 10. Confidence interval estimation -- 11. Fundamentals of hypothesis testing -- 12. Correlation and regression -- 13. Analysis of variances and chi-square tests -- 14. Time series and predictive analytics -- 15. Visualization display -- 16. Advanced visualization display -- 17. Applying visualization to statistics analysis -- Appendices.
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 be able to better conduct statistical analysis and communicate findings.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 020.727 F911 (Browse shelf(Opens below)) Available 137013
Total holds: 0

Includes bibliographical references and index.

1. Introduction --
2. Research design --
3. Data (types and collection methods) --
4. How to run R --
5. Descriptive statistics --
6. Bivariate statistics --
7. Probability theory --
8. Random variables and probability distributions --
9. Sampling --
10. Confidence interval estimation --
11. Fundamentals of hypothesis testing --
12. Correlation and regression --
13. Analysis of variances and chi-square tests --
14. Time series and predictive analytics --
15. Visualization display --
16. Advanced visualization display --
17. Applying visualization to statistics analysis --
Appendices.

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.

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