Nonparametric Statistics: A Step-by-Step Approach, 2nd Edition

Nonparametric Statistics: A Step-by-Step Approach, 2nd Edition

by Gregory W. Corder, Dale I. Foreman
Released May 2014
Publisher(s): Wiley
ISBN: 9781118840313

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Book description

"...a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." -CHOICE

This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes:

  • New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power

  • SPSS (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures

  • Data sets and odd-numbered solutions provided in an appendix, and tables of critical values

  • Supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book.

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    Table of contents

    1. Title page
    2. Copyright page
    3. Preface
    4. List of Variables
    5. CHAPTER 1: Nonparametric Statistics: An Introduction
      1. 1.1    Objectives
      2. 1.2    Introduction
      3. 1.3    The Nonparametric Statistical Procedures Presented in this Book
      4. 1.4    Ranking Data
      5. 1.5    Ranking Data with Tied Values
      6. 1.6    Counts of Observations
      7. 1.7    Summary
      8. 1.8    Practice Questions
      9. 1.9    Solutions to Practice Questions
      10. Notes
    6. CHAPTER 2: Testing Data for Normality
      1. 2.1    Objectives
      2. 2.2    Introduction
      3. 2.3    Describing Data and the Normal Distribution
      4. 2.4    Computing and Testing Kurtosis and Skewness for Sample Normality
      5. 2.5    Computing the Kolmogorov–Smirnov One-Sample Test
      6. 2.6    Summary
      7. 2.7    Practice Questions
      8. 2.8    Solutions to Practice Questions
    7. CHAPTER 3: Comparing Two Related Samples: The Wilcoxon Signed Rank and the Sign Test
      1. 3.1    Objectives
      2. 3.2    Introduction
      3. 3.3    Computing the Wilcoxon Signed Rank Test Statistic
      4. 3.4    Computing the Sign Test
      5. 3.5    Performing the Wilcoxon Signed Rank Test and the Sign Test Using SPSS
      6. 3.6    Statistical Power
      7. 3.7    Examples from the Literature
      8. 3.8    Summary
      9. 3.9    Practice Questions
      10. 3.10    Solutions to Practice Questions
    8. CHAPTER 4: Comparing Two Unrelated Samples: The Mann−Whitney U-Test and the Kolmogorov−Smirnov Two-Sample Test
      1. 4.1    Objectives
      2. 4.2    Introduction
      3. 4.3    Computing the Mann−Whitney U-Test Statistic
      4. 4.4    Computing the Kolmogorov–Smirnov Two-Sample Test Statistic
      5. 4.5    Performing the Mann–Whitney U-Test and the Kolmogorov–Smirnov Two-Sample Test Using SPSS
      6. 4.6    Examples from the Literature
      7. 4.7    Summary
      8. 4.8    Practice Questions
      9. 4.9    Solutions to Practice Questions
    9. CHAPTER 5: Comparing More Than Two Related Samples: The Friedman Test
      1. 5.1    Objectives
      2. 5.2    Introduction
      3. 5.3    Computing the Friedman Test Statistic
      4. 5.4    Examples from the Literature
      5. 5.5    Summary
      6. 5.6    Practice Questions
      7. 5.7    Solutions to Practice Questions
    10. CHAPTER 6: Comparing More Than Two Unrelated Samples: The Kruskal–Wallis H-Test
      1. 6.1    Objectives
      2. 6.2    Introduction
      3. 6.3    Computing The Kruskal–Wallis H-Test Statistic
      4. 6.4    Examples from the Literature
      5. 6.5    Summary
      6. 6.6    Practice Questions
      7. 6.7    Solutions to Practice Questions
    11. CHAPTER 7: Comparing Variables of Ordinal or Dichotomous Scales: Spearman Rank-Order, Point-Biserial, and Biserial Correlations
      1. 7.1    Objectives
      2. 7.2    Introduction
      3. 7.3    The Correlation Coefficient
      4. 7.4    Computing the Spearman Rank-Order Correlation Coefficient
      5. 7.5    Computing the Point-Biserial and Biserial Correlation Coefficients
      6. 7.6    Examples from the Literature
      7. 7.7    Summary
      8. 7.8    Practice Questions
      9. 7.9    Solutions to Practice Questions
    12. CHAPTER 8: Tests for Nominal Scale Data: Chi-Square and Fisher Exact Tests
      1. 8.1    Objectives
      2. 8.2    Introduction
      3. 8.3    The χ2 Goodness-of-Fit Test
      4. 8.4    The χ2 Test for Independence
      5. 8.5    The Fisher Exact Test
      6. 8.6    Examples from the Literature
      7. 8.7    Summary
      8. 8.8    Practice Questions
      9. 8.9    Solutions to Practice Questions
    13. CHAPTER 9: Test for Randomness: The Runs Test
      1. 9.1    Objectives
      2. 9.2    Introduction
      3. 9.3    The Runs Test for Randomness
      4. 9.4    Examples from the Literature
      5. 9.5    Summary
      6. 9.6    Practice Questions
      7. 9.7    Solutions to Practice Questions
    14. APPENDIX A: SPSS at a Glance
      1. A.1    Introduction
      2. A.2    Opening SPSS
      3. A.3    Inputting Data
      4. A.4    Analyzing Data
      5. A.5    The SPSS Output
    15. APPENDIX B: Critical Value Tables
    16. References
    17. Index
    18. End User License Agreement

    Product information

    • Title: Nonparametric Statistics: A Step-by-Step Approach, 2nd Edition
    • Author(s): Gregory W. Corder, Dale I. Foreman
    • Release date: May 2014
    • Publisher(s): Wiley
    • ISBN: 9781118840313