Nonparametric Statistics : A Step-By-Step Approach.
By: Corder, Gregory W.
Material type: BookSeries: New York Academy of Sciences Ser: Publisher: Newark : John Wiley & Sons, Incorporated, 2014Copyright date: �2014Description: 1 online resource (314 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9781118840429.Genre/Form: Electronic books.Online resources: Click to ViewItem type | Current location | Collection | Call number | URL | Copy number | Status | Date due | Item holds |
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E-book | IUKL Library | Subscripti | https://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=7104128 | 1 | Available |
Intro -- Title page -- Copyright page -- Preface -- List of Variables -- CHAPTER 1: Nonparametric Statistics: An Introduction -- 1.1 Objectives -- 1.2 Introduction -- 1.3 The Nonparametric Statistical Procedures Presented in this Book -- 1.4 Ranking Data -- 1.5 Ranking Data with Tied Values -- 1.6 Counts of Observations -- 1.7 Summary -- 1.8 Practice Questions -- 1.9 Solutions to Practice Questions -- Notes -- CHAPTER 2: Testing Data for Normality -- 2.1 Objectives -- 2.2 Introduction -- 2.3 Describing Data and the Normal Distribution -- 2.4 Computing and Testing Kurtosis and Skewness for Sample Normality -- 2.5 Computing the Kolmogorov-Smirnov One-Sample Test -- 2.6 Summary -- 2.7 Practice Questions -- 2.8 Solutions to Practice Questions -- CHAPTER 3: Comparing Two Related Samples: The Wilcoxon Signed Rank and the Sign Test -- 3.1 Objectives -- 3.2 Introduction -- 3.3 Computing the Wilcoxon Signed Rank Test Statistic -- 3.4 Computing the Sign Test -- 3.5 Performing the Wilcoxon Signed Rank Test and the Sign Test Using SPSS -- 3.6 Statistical Power -- 3.7 Examples from the Literature -- 3.8 Summary -- 3.9 Practice Questions -- 3.10 Solutions to Practice Questions -- CHAPTER 4: Comparing Two Unrelated Samples: The Mann−Whitney U-Test and the Kolmogorov−Smirnov Two-Sample Test -- 4.1 Objectives -- 4.2 Introduction -- 4.3 Computing the Mann−Whitney U-Test Statistic -- 4.4 Computing the Kolmogorov-Smirnov Two-Sample Test Statistic -- 4.5 Performing the Mann-Whitney U-Test and the Kolmogorov-Smirnov Two-Sample Test Using SPSS -- 4.6 Examples from the Literature -- 4.7 Summary -- 4.8 Practice Questions -- 4.9 Solutions to Practice Questions -- CHAPTER 5: Comparing More Than Two Related Samples: The Friedman Test -- 5.1 Objectives.
5.2 Introduction -- 5.3 Computing the Friedman Test Statistic -- 5.4 Examples from the Literature -- 5.5 Summary -- 5.6 Practice Questions -- 5.7 Solutions to Practice Questions -- CHAPTER 6: Comparing More Than Two Unrelated Samples: The Kruskal-Wallis H-Test -- 6.1 Objectives -- 6.2 Introduction -- 6.3 Computing The Kruskal-Wallis H-Test Statistic -- 6.4 Examples from the Literature -- 6.5 Summary -- 6.6 Practice Questions -- 6.7 Solutions to Practice Questions -- CHAPTER 7: Comparing Variables of Ordinal or Dichotomous Scales: Spearman Rank-Order, Point-Biserial, and Biserial Correlations -- 7.1 Objectives -- 7.2 Introduction -- 7.3 The Correlation Coefficient -- 7.4 Computing the Spearman Rank-Order Correlation Coefficient -- 7.5 Computing the Point-Biserial and Biserial Correlation Coefficients -- 7.6 Examples from the Literature -- 7.7 Summary -- 7.8 Practice Questions -- 7.9 Solutions to Practice Questions -- CHAPTER 8: Tests for Nominal Scale Data: Chi-Square and Fisher Exact Tests -- 8.1 Objectives -- 8.2 Introduction -- 8.3 The (S{(B2 Goodness-of-Fit Test -- 8.4 The (S{(B2 Test for Independence -- 8.5 The Fisher Exact Test -- 8.6 Examples from the Literature -- 8.7 Summary -- 8.8 Practice Questions -- 8.9 Solutions to Practice Questions -- CHAPTER 9: Test for Randomness: The Runs Test -- 9.1 Objectives -- 9.2 Introduction -- 9.3 The Runs Test for Randomness -- 9.4 Examples from the Literature -- 9.5 Summary -- 9.6 Practice Questions -- 9.7 Solutions to Practice Questions -- APPENDIX A: SPSS at a Glance -- A.1 Introduction -- A.2 Opening SPSS -- A.3 Inputting Data -- A.4 Analyzing Data -- A.5 The SPSS Output -- APPENDIX B: Critical Value Tables -- References -- Index -- End User License Agreement.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2022. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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