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Statistical methods for the information professional : a practical, painless approach to understanding, using, and interpreting statistics

Author: Liwen Vaughan; American Society for Information Science and Technology.
Publisher: Medford, N.J. : Published for the American Society for Information Science and Technology by Information Today, 2001.
Series: ASIST monograph series.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
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Additional Physical Format: Online version:
Vaughan, Liwen, 1956-
Statistical methods for the information professional.
Medford, N.J. : Published for the American Society for Information Science and Technology by Information Today, 2001
(OCoLC)606552995
Online version:
Vaughan, Liwen, 1956-
Statistical methods for the information professional.
Medford, N.J. : Published for the American Society for Information Science and Technology by Information Today, 2001
(OCoLC)631771506
Document Type: Book
All Authors / Contributors: Liwen Vaughan; American Society for Information Science and Technology.
ISBN: 1573871109 9781573871105
OCLC Number: 45804857
Description: xxi, 209 p. : ill. ; 23 cm.
Contents: Getting started : recognizing the types of data --
Avoiding manual calculations and formula manipulations : using software --
First look : using graphs to see the characteristics of data --
Summarizing messy data into neat figures : descriptive statistics --
What is statistically significant? : basic concepts of inferential statistics --
How to collect data : sampling methods --
Examining relationships for nominal and ordinal data : chi-square test --
Examining relationships for interval and ratio data : correlation and regression --
Are two samples significantly different? : T test --
Are three or more samples significantly different? : analysis of variance --
When data do not behave : using nonparametric tests --
When should I use which test? : a road map --
Getting sophisticated : a taste of some advanced statistical methods --
Appendices.
Series Title: ASIST monograph series.
Responsibility: Liwen Vaughan.
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