Explaining psychological statistics

Successfully bridges the gap between statistics and research methods courses by incorporating research methods throughout the text. This comprehensive text covers both introductory and advanced topics in statistics, including the concepts (and limitations) of hypothesis testing; linear correlation and regression; the t-test and matched t-test; basic analysis of variance in one-and two-way designs; and repeated measures ANOVA.

Part One: Descriptive Statistics -- Chapter 1. Introduction to Psychological Statistics -- Chapter 2. Frequency Tables, Graphs, and Distributions -- Chapter 3. Measures of Central tendency and Variability -- Chapter 4. Standardized Scores and the Normal Distribution -- Part Two: One -- And Two-Sample Hypothesis Tests -- Chapter 5. Introduction to Hypothesis Testing: The One-Sample z Test -- Chapter 6. Interval Estimation and the t Distribution -- Chapter 7. The t Test For Two Independent Sample Means -- Chapter 8. Statistical Power and Effect Size -- Part Three: Hypothesis Tests Involving Two Measures on Each Subject -- Chapter 9. Linear Correlation -- Chapter 10. Linear Regression -- Chapter 11. The Matched t Test -- Part Four: Analysis of Variance without Repeated Measures -- Chapter 12. One-Way Independent ANOVA -- Chapter 13. Multiple Comparisons -- Chapter 14. Two-Way ANOVA -- Part Five: Analysis of Variance with Repeated Measures -- Chapter 15. Repeated Measures ANOVA -- Chapter 16. TWO-WAY Mixed Design ANOVA -- Part Six: Multiple Regression and Its Connection to ANOVA -- Chapter 17. Multiple Regression -- Chapter 18. The Regression Approach to ANOVA -- Part Seven: Nonparame…