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
• Seitenzahl: 848
• 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 21 Chapter 3 Measures Of
Central Tendency And Variability 46 Chapter 4 Standardized Scores And The
Normal Distribution 87 Part Two One- and Two-Sample Hypothesis Tests 123
Chapter 5 Introduction to Hypothesis Testing: The One-Sample z Test 123
Chapter 6 Interval Estimation and the t Distribution 156 Chapter 7 The t
Test for Two Independent Sample Means 188 Chapter 8 Statistical Power and
Effect Size 222 Part Three Hypothesis Tests Involving Two Measures on Each
Subject 255 Chapter 9 Linear Correlation 255 Chapter 10 Linear Regression
286 Chapter 11 The Matched t Test 317 Part Four Analysis of Variance
without Repeated Measures 342 Chapter 12 One-Way Independent ANOVA 342
Chapter 13 Multiple Comparisons 386 Chapter 14 Two-Way ANOVA 425 Part Five
Analysis of Variance with Repeated Measures 487 Chapter 15 Repeated
Measures ANOVA 487 Chapter 16 Two-Way Mixed Design ANOVA 528 Part Six
Multiple Regression and Its Connection to ANOVA 571 Chapter 17 Multiple
Regression 571 Chapter 18 The Regression Approach to ANOVA 627 Part Seven
Nonparametric Statistics 677 Chapter 19 The Binomial Distribution 677
Chapter 20 Chi-Square Tests 700 Appendix A Statistical Tables 757 Appendix
B Answers To Selected Exercises 777 References 799 Index 807