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Nonparametric statistics for non-statisticians : a step-by-step approach / yazarlar; Gregory W. Corder, Dale I. Foreman.

By: Contributor(s): Material type: TextTextLanguage: İngilizce Publisher: Hoboken, N.J. : Wiley, 2011Copyright date: ©2009Description: 1 online resource (xiii, 247 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118165881
  • 1118165888
  • 9781118165829
  • 1118165829
Subject(s): Genre/Form: Additional physical formats: Print version:: Nonparametric statistics for non-statisticians.LOC classification:
  • QA278.8 .C67 2011EBK
Online resources:
Contents:
Front Matter -- Nonparametric Statistics: An Introduction -- Testing Data for Normality -- Comparing Two Related Samples: The Wilcoxon Signed Ranks Test -- Comparing Two Unrelated Samples: The Mann₆Whitney U-Test -- Comparing More Than Two Related Samples: The Friedman Test -- Comparing More than Two Unrelated Samples: The Kruskal₆Wallis H-Test -- Comparing Variables of Ordinal or Dichotomous Scales: Spearman Rank-Order, Point-Biserial, and Biserial Correlations -- Tests for Nominal Scale Data: Chi-Square and Fisher Exact Test -- Test For Randomness: The Runs Test -- Appendix A: SPSS at a Glance -- Appendix B: Tables of Critical Values -- Bibliography -- Index.
Testing data for normality -- Comparing two related samples : the Wilcoxon signed ranks test -- Comparing two unrelated samples : the Mann-Whitney U-test -- Comparing more than two related samples : the Friedman test -- Comparing more than two unrelated samples : the Kruskal-Wallis H test -- Comparing variables of ordinal or dichotomous scales : Spearman rank-order, point-biserial, and biserial correlations -- Tests for nominal scale data : chi-square and Fisher exact test -- Test for randomness : the runs test.
Summary: A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for.
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Item type Current library Home library Collection Call number Status Notes Date due Barcode
E-Book E-Book Merkez Kütüphane Merkez Kütüphane E-Kitap Koleksiyonu QA278.8 .C67 2011EBK (Browse shelf(Opens below)) Geçerli değil-e-Kitap / Not applicable-e-Book EBK01584

Includes bibliographical references and index.

Front Matter -- Nonparametric Statistics: An Introduction -- Testing Data for Normality -- Comparing Two Related Samples: The Wilcoxon Signed Ranks Test -- Comparing Two Unrelated Samples: The Mann₆Whitney U-Test -- Comparing More Than Two Related Samples: The Friedman Test -- Comparing More than Two Unrelated Samples: The Kruskal₆Wallis H-Test -- Comparing Variables of Ordinal or Dichotomous Scales: Spearman Rank-Order, Point-Biserial, and Biserial Correlations -- Tests for Nominal Scale Data: Chi-Square and Fisher Exact Test -- Test For Randomness: The Runs Test -- Appendix A: SPSS at a Glance -- Appendix B: Tables of Critical Values -- Bibliography -- Index.

Testing data for normality -- Comparing two related samples : the Wilcoxon signed ranks test -- Comparing two unrelated samples : the Mann-Whitney U-test -- Comparing more than two related samples : the Friedman test -- Comparing more than two unrelated samples : the Kruskal-Wallis H test -- Comparing variables of ordinal or dichotomous scales : Spearman rank-order, point-biserial, and biserial correlations -- Tests for nominal scale data : chi-square and Fisher exact test -- Test for randomness : the runs test.

A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for.

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Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.