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

A clear and accessible statistics text-- now fully updated and revisedNow 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

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