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Handbook of Parametric and Nonparametric Statistical Procedures

Handbook of Parametric and Nonparametric Statistical Procedures by David J. Sheskin
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Introduction
Outline of Inferential Statistical Tests and Measures of Correlation/Association
Guidelines and Decision Tables for Selecting the Appropriate Statistical Procedure
Inferential Statistical Tests Employed with a Single Sample
Test 1: The Single-Sample z Test
Test 2: The Single-Sample t Test
Test 3: The Single-Sample Chi-Square Test for a Population Variance
Test 4: The Wilcoxon Signed-Ranks Test
Test 5: The Chi-Square Goodness-of-Fit Test
Test 6: The Binomial Sign Test for a Single Sample
Test 6a: The z Test for a Population Proportion
Test 6b: The Single-Sample Test for the Median
Test 7: The Single-Sample Runs Test (and Other Tests of Randomness)
Inferential Statistical Tests Employed with Two Independent Samples (and Related Measures of Association/Correlation)
Test 8: The t Test for Two Independent Samples
Test 8a - Hartley's Fmax Test for Homogeneity of Variance/F Test for Two Population Variances
Test 8b: Omega Squared
Test 8c: The z Test for Two Independent Samples
Test 9 : The Mann-Whitney U Test
Test 10: The Siegel-Tukey Test for Equal Variability
Test 11: The Chi-Square Test for r x c Tables
Test 11a: The Chi-Square Test for Homogeneity
Test 11b: The Chi-Square Test of Independence
Test 11c: The Fisher Exact Test
Test 11d: The z Test for Two Independent Proportions
Test 11e: The Median Test for Independent Samples
Test 11f: The Contingency Coefficient
Test 11g: The Phi Coefficient
Test 11h: Cramér's Phi Coefficient
Test 11i: Yule's Q
Test 11j: The Odds Ratio
Inferential Statistical Tests Employed with Two Dependent Samples (and Related Measures of Association/Correlation)
Test 12: The t Test for Two Dependent Samples
Test 12a: The t Test for Homogeneity of Variance for Two Dependent Samples
Test 12b: Omega Squared
Test 12c: Sandler's A Test
Test 12d: The z Test for Two Dependent Samples
Test 13: The Wilcoxon Matched-Pairs Signed-Ranks Test
Test 14: The Binomial Sign Test for Two Dependent Samples
Test 15: The McNemar Test
Inferential Statistical Tests Employed with Two or More Independent Samples (and Related Measures of Association/Correlation)
Test 16: The Single-Factor Between-Subjects Analysis of Variance
Test 16a: Fisher's LSD Test
Test 16b: The Bonferroni-Dunn Test
Test 16c: Tukey's HSD Test
Test 16d: The Newman-Keuls Test
Test 16e: The Scheffé Test
Test 16f: The Dunnett Test
Test 16g: Omega Squared
Test 16h: Eta Squared
Test 17: The Kruskal-Wallis One-Way Analysis of Variance by Ranks
Inferential Statistical Tests Employed with Two or More Dependent Samples (and Related Measures of Association/Correlation)
Test 18: The Single-Factor Within-Subjects Analysis of Variance
Test 18a: Fisher's LSD Test
Test 18b: The Bonferroni-Dunn Test
Test 18c: Tukey's HSD Test
Test 18d: The Newman-Keuls Test
Test 18e: The Scheffé Test
Test 18f: The Dunnett Test
Test 18g: Omega Squared
Test 19: The Friedman Two-Way Analysis of Variance by Ranks
Test 20: The Cochran Q Test
Inferential Statistical Tests Employed with Factorial Designs (and Related Measures of Association/Correlation)
Test 21: The Between-Subjects Factorial Analysis Of Variance
Test 21a: Fisher's LSD Test
Test 21b: The Bonferroni-Dunn Test
Test 21c: Tukey's HSD Test
Test 21d: The Newman-Keuls Test
Test 21e: The Scheffé Test
Test 21f: The Dunnett Test
Test 21g: Omega Squared
Test 21h: The Factorial Analysis of Variance for a Mixed Design
Test 21i: The Within-Subjects Factorial Analysis of Variance
Measures of Correlation/Association
Test 22: The Pearson Product-Moment Correlation Coefficient
Teat 22a: Test of Significance for the Pearson Product-Moment Correlation Coefficient
Test 22b: Test for Evaluating the Hypothesis that the True Population Correlation is a Specific Value Other than Zero
Test 22c: Test for Evaluating a Hypothesis on Whether There Is a Significant Difference between Two Independent Correlations
Test 22d: Test for Evaluating a Hypothesis on Whether k Independent Correlations are Homogeneous
Test 22e: Test for Evaluating the Null Hypothesis H0: rXZ = rYZ
Test 22f: Test for Evaluating the Null Hypothesis H0: b = 0
Test 22g: Test for Evaluating the Null Hypothesis H0: b1 = b2
Test 22h: The Point-Biserial Correlation Coefficient
Test 22i: The Biserial Correlation Coefficient
Test 22j: The Tetrachoric Correlation Coefficient
Test 22k: The Multiple Correlation Coefficient
Test 22l: The Partial Correlation Coefficient
Test 22m: The Semipartial Correlation Coefficient
Test 23: Spearman's Rank-Order Correlation Coefficient
Test 23a: Test for Evaluating the Significance of Spearman's Rank-Order Correlation Coefficient
Test 24: Kendall's Tau
Test 24a: The Test for Evaluating the Significance of Kendall's Tau
Test 25: Kendall's Coefficient of Concordance
Test 25a: Test for Evaluating the Significance of the Coefficient of Concordance
Test 26: Goodman and Kruskal's Gamma
Test 26a: Test for Evaluating the Significance of Gamma
Test 26b: Test for Evaluating the Null Hypothesis H0: g1 = g2
Appendix of Statistical Tables

U.S. $69.95
ISBN: 0-8493-3119-6
December 1996, c. 700 pp., 7x10
Catalog No. 3119
Outside U.S. $84.00

NTI Copy: Already created for June Sales Meeting

Shelving Guide
Category
Mathematics

Subcategory
Probability and Statistics

Audience
  • Researchers from a variety of disciplines who conduct and evaluate empirical research
  • Professors of inferential statistics
  • Undergraduate and graduate statistics students

    Contact Editor: Tim Pletscher

    Backcover Copy/Short Copy
  • CRC Press; June 2004
    1228 pages; ISBN 9780203489536
    Read online, or download in secure PDF format
    Title: Handbook of Parametric and Nonparametric Statistical Procedures
    Author: David J. Sheskin
     
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