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Publication . Article . 2007

A Statistical Primer: Understanding Descriptive and Inferential Statistics

Gillian Byrne;
Open Access   English  
Published: 01 Mar 2007 Journal: Evidence Based Library and Information Practice, volume 2, issue 1, pages 32-47
Publisher: University of Alberta
Abstract
As libraries and librarians move more towards evidence-based decision making, the data being generated in libraries is growing. Understanding the basics of statistical analysis is crucial for evidence-based practice (EBP), in order to correctly design and analyze research as well as to evaluate the research of others. This article covers the fundamentals of descriptive and inferential statistics, from hypothesis construction to sampling to common statistical techniques including chi-square, correlation, and analysis of variance (ANOVA).
Subjects by Vocabulary

Library of Congress Subject Headings: lcsh:Bibliography. Library science. Information resources lcsh:Z

Microsoft Academic Graph classification: Statistics Data science Statistical inference Statistical analysis Computer science Sampling (statistics)

Subjects

Statistical Methods, Library and Information Sciences

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