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

By: Contributor(s): Material type: TextTextSeries: ASIST monograph seriesPublisher: Medford, N.J. : Published for the American Society for Information Science and Technology by Information Today, 2001Description: xxi, 209 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1573871109
  • 9781573871105
Subject(s): DDC classification:
  • 519.5
LOC classification:
  • HF1017. V38 2001
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.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 519.5 VAU (Browse shelf(Opens below)) 1 Available A256719B

Includes bibliographical references (pages 199-200) and index.

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.

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