{"product_id":"nonparametric-statistics-9781118840313","title":"Nonparametric Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003ea 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. \u003c\/b\u003e\u003ci\u003e\u003cb\u003eCHOICE\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e \u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eThis\u003ci\u003eSecond Edition\u003c\/i\u003epresents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eNew 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\u003c\/li\u003e \u003cli\u003eSPSS (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures\u003c\/li\u003e \u003cli\u003eData sets and odd-numbered solutions provided in an appendix, and tables of critical values\u003c\/li\u003e \u003cli\u003eSupplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eList of Variables xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 \u003c\/b\u003e\u003cb\u003eNonparametric Statistics: An Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Objectives 1\u003c\/p\u003e \u003cp\u003e1.2 Introduction 1\u003c\/p\u003e \u003cp\u003e1.3 The Nonparametric Statistical Procedures Presented in This Book 3\u003c\/p\u003e \u003cp\u003e1.3.1 State the Null and Research Hypotheses 4\u003c\/p\u003e \u003cp\u003e1.3.2 Set the Level of Risk (or the Level of Significance) Associated with the Null Hypothesis 4\u003c\/p\u003e \u003cp\u003e1.3.3 Choose the Appropriate Test Statistic 5\u003c\/p\u003e \u003cp\u003e1.3.4 Compute the Test Statistic 5\u003c\/p\u003e \u003cp\u003e1.3.5 Determine the Value Needed for Rejection of the Null Hypothesis Using the Appropriate Table of Critical Values for the Particular Statistic 5\u003c\/p\u003e \u003cp\u003e1.3.6 Compare the Obtained Value with the Critical Value 6\u003c\/p\u003e \u003cp\u003e1.3.7 Interpret the Results 6\u003c\/p\u003e \u003cp\u003e1.3.8 Reporting the Results 6\u003c\/p\u003e \u003cp\u003e1.4 Ranking Data 6\u003c\/p\u003e \u003cp\u003e1.5 Ranking Data with Tied Values 7\u003c\/p\u003e \u003cp\u003e1.6 Counts of Observations 8\u003c\/p\u003e \u003cp\u003e1.7 Summary 9\u003c\/p\u003e \u003cp\u003e1.8 Practice Questions 9\u003c\/p\u003e \u003cp\u003e1.9 Solutions to Practice Questions 10\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 \u003c\/b\u003e\u003cb\u003eTesting Data for Normality 13\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Objectives 13\u003c\/p\u003e \u003cp\u003e2.2 Introduction 13\u003c\/p\u003e \u003cp\u003e2.3 Describing Data and the Normal Distribution 14\u003c\/p\u003e \u003cp\u003e2.4 Computing and Testing Kurtosis and Skewness for Sample Normality 17\u003c\/p\u003e \u003cp\u003e2.4.1 Sample Problem for Examining Kurtosis 19\u003c\/p\u003e \u003cp\u003e2.4.2 Sample Problem for Examining Skewness 22\u003c\/p\u003e \u003cp\u003e2.4.3 Examining Skewness and Kurtosis for Normality Using SPSS 24\u003c\/p\u003e \u003cp\u003e2.5 Computing the Kolmogorov–Smirnov One-Sample Test 27\u003c\/p\u003e \u003cp\u003e2.5.1 Sample Kolmogorov–Smirnov One-Sample Test 29\u003c\/p\u003e \u003cp\u003e2.5.2 Performing the Kolmogorov–Smirnov One-Sample Test Using SPSS 34\u003c\/p\u003e \u003cp\u003e2.6 Summary 37\u003c\/p\u003e \u003cp\u003e2.7 Practice Questions 37\u003c\/p\u003e \u003cp\u003e2.8 Solutions to Practice Questions 38\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 \u003c\/b\u003e\u003cb\u003eComparing Two Related Samples: The Wilcoxon Signed Rank and the Sign Test 39\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Objectives 39\u003c\/p\u003e \u003cp\u003e3.2 Introduction 39\u003c\/p\u003e \u003cp\u003e3.3 Computing the Wilcoxon Signed Rank Test Statistic 40\u003c\/p\u003e \u003cp\u003e3.3.1 Sample Wilcoxon Signed Rank Test (Small Data Samples) 41\u003c\/p\u003e \u003cp\u003e3.3.2 Confidence Interval for the Wilcoxon Signed Rank Test 43\u003c\/p\u003e \u003cp\u003e3.3.3 Sample Wilcoxon Signed Rank Test (Large Data Samples) 45\u003c\/p\u003e \u003cp\u003e3.4 Computing the Sign Test 49\u003c\/p\u003e \u003cp\u003e3.4.1 Sample Sign Test (Small Data Samples) 50\u003c\/p\u003e \u003cp\u003e3.4.2 Sample Sign Test (Large Data Samples) 53\u003c\/p\u003e \u003cp\u003e3.5 Performing the Wilcoxon Signed Rank Test and the Sign Test Using SPSS 57\u003c\/p\u003e \u003cp\u003e3.5.1 Define Your Variables 57\u003c\/p\u003e \u003cp\u003e3.5.2 Type in Your Values 57\u003c\/p\u003e \u003cp\u003e3.5.3 Analyze Your Data 58\u003c\/p\u003e \u003cp\u003e3.5.4 Interpret the Results from the SPSS Output Window 58\u003c\/p\u003e \u003cp\u003e3.6 Statistical Power 60\u003c\/p\u003e \u003cp\u003e3.7 Examples from the Literature 61\u003c\/p\u003e \u003cp\u003e3.8 Summary 61\u003c\/p\u003e \u003cp\u003e3.9 Practice Questions 62\u003c\/p\u003e \u003cp\u003e3.10 Solutions to Practice Questions 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 \u003c\/b\u003e\u003cb\u003eComparing Two Unrelated Samples: The Mann−Whitney U-Test and the Kolmogorov−Smirnov Two-Sample Test 69\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Objectives 69\u003c\/p\u003e \u003cp\u003e4.2 Introduction 69\u003c\/p\u003e \u003cp\u003e4.3 Computing the Mann−Whitney \u003ci\u003eU-\u003c\/i\u003eTest Statistic 70\u003c\/p\u003e \u003cp\u003e4.3.1 Sample Mann−Whitney \u003ci\u003eU-\u003c\/i\u003eTest (Small Data Samples) 71\u003c\/p\u003e \u003cp\u003e4.3.2 Confidence Interval for the Difference between Two Location Parameters 74\u003c\/p\u003e \u003cp\u003e4.3.3 Sample Mann−Whitney \u003ci\u003eU-\u003c\/i\u003eTest (Large Data Samples) 75\u003c\/p\u003e \u003cp\u003e4.4 Computing the Kolmogorov–Smirnov Two-Sample Test Statistic 80\u003c\/p\u003e \u003cp\u003e4.4.1 Sample Kolmogorov–Smirnov Two-Sample Test 81\u003c\/p\u003e \u003cp\u003e4.5 Performing the Mann–Whitney \u003ci\u003eU\u003c\/i\u003e-Test and the Kolmogorov–Smirnov Two-Sample Test Using SPSS 84\u003c\/p\u003e \u003cp\u003e4.5.1 Define Your Variables 84\u003c\/p\u003e \u003cp\u003e4.5.2 Type in Your Values 85\u003c\/p\u003e \u003cp\u003e4.5.3 Analyze Your Data 86\u003c\/p\u003e \u003cp\u003e4.5.4 Interpret the Results from the SPSS Output Window 86\u003c\/p\u003e \u003cp\u003e4.6 Examples from the Literature 88\u003c\/p\u003e \u003cp\u003e4.7 Summary 89\u003c\/p\u003e \u003cp\u003e4.8 Practice Questions 90\u003c\/p\u003e \u003cp\u003e4.9 Solutions to Practice Questions 92\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 \u003c\/b\u003e\u003cb\u003eComparing More Than Two Related Samples: The Friedman Test 97\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Objectives 97\u003c\/p\u003e \u003cp\u003e5.2 Introduction 97\u003c\/p\u003e \u003cp\u003e5.3 Computing the Friedman Test Statistic 98\u003c\/p\u003e \u003cp\u003e5.3.1 Sample Friedman’s Test (Small Data Samples without Ties) 99\u003c\/p\u003e \u003cp\u003e5.3.2 Sample Friedman’s Test (Small Data Samples with Ties) 101\u003c\/p\u003e \u003cp\u003e5.3.3 Performing the Friedman Test Using SPSS 105\u003c\/p\u003e \u003cp\u003e5.3.4 Sample Friedman’s Test (Large Data Samples without Ties) 108\u003c\/p\u003e \u003cp\u003e5.4 Examples from the Literature 111\u003c\/p\u003e \u003cp\u003e5.5 Summary 112\u003c\/p\u003e \u003cp\u003e5.6 Practice Questions 113\u003c\/p\u003e \u003cp\u003e5.7 Solutions to Practice Questions 114\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 \u003c\/b\u003e\u003cb\u003eComparing More Than Two Unrelated Samples: The Kruskal–Wallis H-Test 117\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Objectives 117\u003c\/p\u003e \u003cp\u003e6.2 Introduction 117\u003c\/p\u003e \u003cp\u003e6.3 Computing the Kruskal–Wallis \u003ci\u003eH\u003c\/i\u003e-Test Statistic 118\u003c\/p\u003e \u003cp\u003e6.3.1 Sample Kruskal–Wallis \u003ci\u003eH\u003c\/i\u003e-Test (Small Data Samples) 119\u003c\/p\u003e \u003cp\u003e6.3.2 Performing the Kruskal–Wallis \u003ci\u003eH\u003c\/i\u003e-Test Using SPSS 124\u003c\/p\u003e \u003cp\u003e6.3.3 Sample Kruskal–Wallis \u003ci\u003eH-\u003c\/i\u003eTest (Large Data Samples) 128\u003c\/p\u003e \u003cp\u003e6.4 Examples from the Literature 134\u003c\/p\u003e \u003cp\u003e6.5 Summary 134\u003c\/p\u003e \u003cp\u003e6.6 Practice Questions 135\u003c\/p\u003e \u003cp\u003e6.7 Solutions to Practice Questions 136\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 \u003c\/b\u003e\u003cb\u003eComparing Variables of Ordinal or Dichotomous Scales: Spearman Rank Order, Point-Biserial, and Biserial Correlations 139\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Objectives 139\u003c\/p\u003e \u003cp\u003e7.2 Introduction 139\u003c\/p\u003e \u003cp\u003e7.3 The Correlation Coefficient 140\u003c\/p\u003e \u003cp\u003e7.4 Computing the Spearman Rank-Order Correlation Coefficient 140\u003c\/p\u003e \u003cp\u003e7.4.1 Sample Spearman Rank-Order Correlation (Small Data Samples without Ties) 142\u003c\/p\u003e \u003cp\u003e7.4.2 Sample Spearman Rank-Order Correlation (Small Data Samples with Ties) 145\u003c\/p\u003e \u003cp\u003e7.4.3 Performing the Spearman Rank-Order Correlation Using SPSS 148\u003c\/p\u003e \u003cp\u003e7.5 Computing the Point-Biserial and Biserial Correlation Coefficients 150\u003c\/p\u003e \u003cp\u003e7.5.1 Correlation of a Dichotomous Variable and an Interval Scale Variable 150\u003c\/p\u003e \u003cp\u003e7.5.2 Correlation of a Dichotomous Variable and a Rank-Order Variable 152\u003c\/p\u003e \u003cp\u003e7.5.3 Sample Point-Biserial Correlation (Small Data Samples) 152\u003c\/p\u003e \u003cp\u003e7.5.4 Performing the Point-Biserial Correlation Using SPSS 156\u003c\/p\u003e \u003cp\u003e7.5.5 Sample Point-Biserial Correlation (Large Data Samples) 159\u003c\/p\u003e \u003cp\u003e7.5.6 Sample Biserial Correlation (Small Data Samples) 163\u003c\/p\u003e \u003cp\u003e7.5.7 Performing the Biserial Correlation Using SPSS 167\u003c\/p\u003e \u003cp\u003e7.6 Examples from the Literature 167\u003c\/p\u003e \u003cp\u003e7.7 Summary 167\u003c\/p\u003e \u003cp\u003e7.8 Practice Questions 168\u003c\/p\u003e \u003cp\u003e7.9 Solutions to Practice Questions 170\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 \u003c\/b\u003e\u003cb\u003eTests for Nominal Scale Data: Chi-Square and Fisher Exact Tests 172\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Objectives 172\u003c\/p\u003e \u003cp\u003e8.2 Introduction 172\u003c\/p\u003e \u003cp\u003e8.3 The χ\u003csup\u003e2 \u003c\/sup\u003eGoodness-of-Fit Test 172\u003c\/p\u003e \u003cp\u003e8.3.1 Computing the χ\u003csup\u003e2\u003c\/sup\u003e Goodness-of-Fit Test Statistic 173\u003c\/p\u003e \u003cp\u003e8.3.2 Sample χ\u003csup\u003e2\u003c\/sup\u003e Goodness-of-Fit Test (Category Frequencies Equal) 173\u003c\/p\u003e \u003cp\u003e8.3.3 Sample χ\u003csup\u003e2\u003c\/sup\u003e Goodness-of-Fit Test (Category Frequencies Not Equal) 176\u003c\/p\u003e \u003cp\u003e8.3.4 Performing the χ\u003csup\u003e2\u003c\/sup\u003e Goodness-of-Fit Test Using SPSS 180\u003c\/p\u003e \u003cp\u003e8.4 The χ\u003csup\u003e2\u003c\/sup\u003e Test for Independence 184\u003c\/p\u003e \u003cp\u003e8.4.1 Computing the χ\u003csup\u003e2\u003c\/sup\u003e Test for Independence 185\u003c\/p\u003e \u003cp\u003e8.4.2 Sample χ\u003csup\u003e2\u003c\/sup\u003e Test for Independence 186\u003c\/p\u003e \u003cp\u003e8.4.3 Performing the χ\u003csup\u003e2\u003c\/sup\u003e Test for Independence Using SPSS 190\u003c\/p\u003e \u003cp\u003e8.5 The Fisher Exact Test 196\u003c\/p\u003e \u003cp\u003e8.5.1 Computing the Fisher Exact Test for 2 × 2 Tables 197\u003c\/p\u003e \u003cp\u003e8.5.2 Sample Fisher Exact Test 197\u003c\/p\u003e \u003cp\u003e8.5.3 Performing the Fisher Exact Test Using SPSS 201\u003c\/p\u003e \u003cp\u003e8.6 Examples from the Literature 202\u003c\/p\u003e \u003cp\u003e8.7 Summary 203\u003c\/p\u003e \u003cp\u003e8.8 Practice Questions 204\u003c\/p\u003e \u003cp\u003e8.9 Solutions to Practice Questions 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 \u003c\/b\u003e\u003cb\u003eTest for Randomness: The Runs Test 210\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Objectives 210\u003c\/p\u003e \u003cp\u003e9.2 Introduction 210\u003c\/p\u003e \u003cp\u003e9.3 The Runs Test for Randomness 210\u003c\/p\u003e \u003cp\u003e9.3.1 Sample Runs Test (Small Data Samples) 212\u003c\/p\u003e \u003cp\u003e9.3.2 Performing the Runs Test Using SPSS 213\u003c\/p\u003e \u003cp\u003e9.3.3 Sample Runs Test (Large Data Samples) 217\u003c\/p\u003e \u003cp\u003e9.3.4 Sample Runs Test Referencing a Custom Value 219\u003c\/p\u003e \u003cp\u003e9.3.5 Performing the Runs Test for a Custom Value Using SPSS 221\u003c\/p\u003e \u003cp\u003e9.4 Examples from the Literature 225\u003c\/p\u003e \u003cp\u003e9.5 Summary 225\u003c\/p\u003e \u003cp\u003e9.6 Practice Questions 225\u003c\/p\u003e \u003cp\u003e9.7 Solutions to Practice Questions 227\u003c\/p\u003e \u003cp\u003eAppendix A SPSS at a Glance 229\u003c\/p\u003e \u003cp\u003eAppendix B Critical Value Tables 235\u003c\/p\u003e \u003cp\u003eReferences 261\u003c\/p\u003e \u003cp\u003eIndex 265\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49406932353367,"sku":"9781118840313","price":74.66,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781118840313.jpg?v=1730497601","url":"https:\/\/bookcurl.com\/products\/nonparametric-statistics-9781118840313","provider":"Book Curl","version":"1.0","type":"link"}