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Statistics translated : a step-by-step guide to analyzing and interpreting data / Steven R. Terrell.

By: Material type: TextTextPublisher: New York : Guilford Press, [2012]Copyright date: ©2012Edition: First editionDescription: xvi, 409 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1462503012
  • 9781462503018
  • 1462503217
  • 9781462503216
Other title:
  • Statistics translated : A step-by-step guide to analysing and interpreting data
Subject(s): DDC classification:
  • 519.5 23
LOC classification:
  • HA35 .T47 2012
Contents:
Introduction: you do not need to be a statistician to understand statistics! -- Identifying a research problem and stating hypotheses -- Identifying the independent and dependent variables in a hypothesis -- Measures of dispersion and measures of relative standing -- Graphically describing the dependent variable -- Choosing the right statistical test -- The one sample t-test -- The independent sample t-test -- The dependent sample t-test -- The analysis of variance (anova) -- The chi-square tests -- The correlational procedures -- Conclusion: have we accomplished what we set out to do?.
Summary: Written in a humorous and encouraging style, this text shows how the most common statistical tools can be used to answer interesting real-world questions, presented as mysteries to be solved.
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Includes bibliographical references and index.

Introduction: you do not need to be a statistician to understand statistics! -- Identifying a research problem and stating hypotheses -- Identifying the independent and dependent variables in a hypothesis -- Measures of dispersion and measures of relative standing -- Graphically describing the dependent variable -- Choosing the right statistical test -- The one sample t-test -- The independent sample t-test -- The dependent sample t-test -- The analysis of variance (anova) -- The chi-square tests -- The correlational procedures -- Conclusion: have we accomplished what we set out to do?.

Written in a humorous and encouraging style, this text shows how the most common statistical tools can be used to answer interesting real-world questions, presented as mysteries to be solved.

Machine converted from AACR2 source record.

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