Barry H. Cohen

Explaining Psychological Statistics (eBook, PDF)

• Format: PDF

Produktbeschreibung

A clear and accessible statistics text-- now fully updated and revised Now with a new chapter showing students how to apply the right test in the right way to yield the most accurate and true result, Explaining Psychological Statistics, Fourth Edition offers students an engaging introduction to the field. Presenting the material in a logically flowing, non-intimidating way, this comprehensive text covers both introductory and advanced topics in statistics, from the basic concepts (and limitations) of null hypothesis testing to mixed-design ANOVA and multiple regression. The Fourth Edition covers: * Basic statistical procedures * Frequency tables, graphs, and distributions * Measures of central tendency and variability * One- and two-sample hypothesis tests * Hypothesis testing * Interval estimation and the t distribution

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Produktdetails

• Verlag: John Wiley & Sons
• Erscheinungstermin: 18. November 2013
• Englisch
• ISBN-13: 9781118652244
• Artikelnr.: 40042602

Autorenporträt

BARRY H. COHEN, PhD, is a clinical associate professor in the department of psychology at New York University, where he has been teaching statistics for more than twenty-five years. He is the coauthor of two other successful statistics books from Wiley: Introductory Statistics for the Behavioral Sciences, Seventh Edition and Essentials of Statistics for the Social and Behavioral Sciences.

Inhaltsangabe

Preface to the Third Edition xxv
Acknowledgments xxxi
Part One Descriptive Statistics 1
Chapter 1 Introduction To Psychological Statistics 1
Chapter 2 Frequency Tables, Graphs, And Distributions 27
Chapter 3 Measures Of Central Tendency And Variability 57
Chapter 4 Standardized Scores And The Normal Distribution 99
Part Two One- and Two-Sample Hypothesis Tests 135
Chapter 5 Introduction to Hypothesis Testing: The One-Sample z Test 135
Chapter 6 Interval Estimation and the t Distribution 173
Chapter 7 The t Test for Two Independent Sample Means 203
Chapter 8 Statistical Power and Effect Size 237
Part Three Hypothesis Tests Involving Two Measures on Each Subject 271
Chapter 9 Linear Correlation 271
Chapter 10 Linear Regression 303
Chapter 11 The Matched t Test 337
Part Four Analysis of Variance without Repeated Measures 365
Chapter 12 One-Way Independent ANOVA 365
Chapter 13 Multiple Comparisons 407
Chapter 14 Two-Way ANOVA 451
Part Five Analysis of Variance with Repeated Measures 501
Chapter 15 Repeated Measures ANOVA 501
Chapter 16 Two-Way Mixed Design ANOVA 545
Part Six Multiple Regression and Its Connection to ANOVA 585
Chapter 17 Multiple Regression 585
Chapter 18 The Regression Approach to ANOVA 639
Part Seven Nonparametric Statistics 685
Chapter 19 The Binomial Distribution 685
Chapter 20 Chi-Square Tests 713
Appendix A Statistical Tables 743
Appendix B Answers To Selected Exercises in Sections A and B 759
Appendix C Data from IHNO's Experiment 777
References 781
Index 787