About the Author
Preface to the Second Edition
Preface to the First Edition
Acknowledgments
Companion Site
Chapter 1. Introduction to Statistics
1.2 Why Learn Statistics?
1.3 Introduction to the Stages of the Research Process
Chapter 2. Examining Data: Tables and Figures
2.1 An Example From the Research: Winning the Lottery
2.3 Examining Data Using Tables
2.4 Grouped Frequency Distribution Tables
2.5 Examining Data Using Figures
2.6 Examining Data: Describing Distributions
2.10 Formulas Introduced in This Chapter
2.11 Using IBM SPSS Software
Chapter 3. Measures of Central Tendency
3.1 An Example From the Research: The 10% Myth
3.2 Understanding Central Tendency
3.6 Comparison of the Mode, Median, and Mean
3.7 Measures of Central Tendency: Drawing Conclusions
3.11 Formulas Introduced in This Chapter
Chapter 4. Measures of Variability
4.1 An Example From the Research: How Many “Sometimes” in an “Always”?
4.2 Understanding Variability
4.4 The Interquartile Range
4.6 The Standard Deviation (s)
4.7 Measures of Variability for Populations
4.8 Measures of Variability for Nominal Variables
4.9 Measures of Variability: Drawing Conclusions
4.13 Formulas Introduced in This Chapter
Chapter 5. Normal Distributions
5.3 The Standard Normal Distribution
5.4 Applying z-Scores to Normal Distributions
5.5 Standardizing Frequency Distributions
5.9 Formulas Introduced in This Chapter
Chapter 6. Probability and Introduction to Hypothesis Testing
6.1 A Brief Introduction to Probability
6.2 Example: Making Heads or Tails of the Super Bowl
6.3 Introduction to Hypothesis Testing
6.4 Issues Related to Hypothesis Testing: An Introduction
6.8 Formulas Introduced in This Chapter
Chapter 7. Testing One Sample Mean
7.1 An Example From the Research: Do You Read Me?
7.2 The Sampling Distribution of the Mean
7.3 Inferential Statistics: Testing One Sample Mean (s Known)
7.4 A Second Example From the Research: Unique Invulnerability
7.5 Introduction to the t-Distribution
7.6 Inferential Statistics: Testing One Sample Mean (s Not Known)
7.7 Factors Affecting the Decision About the Null Hypothesis
7.11 Formulas Introduced in This Chapter
Chapter 8. Estimating the Mean of a Population
8.1 An Example From the Research: Salary Survey
8.2 Introduction to the Confidence Interval for the Mean
8.3 The Confidence Interval for the Mean (s Not Known)
8.4 The Confidence Interval for the Mean (s Known)
8.5 Factors Affecting the Width of the Confidence Interval for the Mean
8.6 Interval Estimation and Hypothesis Testing
8.10 Formulas Introduced in This Chapter
Chapter 9. Testing the Difference Between Two Means
9.1 An Example From the Research: You Can Just Wait
9.2 The Sampling Distribution of the Difference
9.3 Inferential Statistics: Testing the Difference Between Two Sample Means
9.4 Inferential Statistics: Testing the Difference Between Two Sample Means (Unequal Sample Sizes)
9.5 Inferential Statistics: Testing the Difference Between Paired Means
9.9 Formulas Introduced in This Chapter
Chapter 10. Errors in Hypothesis Testing, Statistical Power, and Effect Size
10.1 Hypothesis Testing vs. Criminal Trials
10.2 An Example From the Research: Truth or Consequences
10.3 Two Errors in Hypothesis Testing: Type I and Type II Error
10.4 Controlling Type I and Type II Error
10.5 Measures of Effect Size
10.9 Formulas Introduced in This Chapter
Chapter 11. One-Way Analysis of Variance (ANOVA)
11.1 An Example From the Research: It’s Your Move
11.2 Introduction to Analysis of Variance (ANOVA)
11.3 Inferential Statistics: One-Way Analysis of Variance (ANOVA)
11.4 A Second Example: The Parking Lot Study Revisited
11.5 Analytical Comparisons Within the One-Way ANOVA
11.9 Formulas Introduced in This Chapter
Chapter 12. Two-Way Analysis of Variance (ANOVA)
12.1 An Example From the Research: Vote—or Else!
12.2 Introduction to Factorial Research Designs
12.3 The Two-Factor (A × B) Research Design
12.4 Introduction to Analysis of Variance (ANOVA) for the Two-Factor Research Design
12.5 Inferential Statistics: Two-Way Analysis of Variance (ANOVA)
12.6 Investigating a Significant A × B Interaction Effect: Analysis of Simple Effects
12.10 Formulas Introduced in This Chapter
Chapter 13. Correlation
13.1 An Example From the Research: It’s Good for You!
13.2 Introduction to the Concept of Correlation
13.3 Inferential Statistics: Pearson Correlation Coefficient
13.4 Correlating Two Sets of Ranks: The Spearman Rank-Order Correlation
13.5 Correlational Statistics vs. Correlational Research
13.9 Formulas Introduced in This Chapter
Chapter 14. Linear Regression and Multiple Correlation
14.1 Predicting One Variable From Another: Linear Regression
14.2 Correlation With Two or More Predictors: Introduction to Multiple Correlation and Regression
14.6 Formulas Introduced in This Chapter
Chapter 15. Chi-Square
15.1 An Example From the Research (One Categorical Variable): Are You My Type?
15.2 Introduction to the Chi-Square Statistic
15.3 Inferential Statistic: Chi-Square Goodness-of-Fit Test
15.4 An Example From the Research (Two Categorical Variables): Seeing Red
15.5 Inferential Statistic: Chi-Square Test of Independence
15.6 Parametric and Nonparametric Statistical Tests
15.10 Formulas Introduced in This Chapter
Tables
Appendix: Review of Basic Mathematics
Glossary
References
Index