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### Table of contents:

Chapter 1: Introduction to Statistics

1.1 What Is Statistics?

1.2 Why Learn Statistics?

1.3 Introduction to the Stages of the Research Process

1.4 Plan of the Book

Chapter 2: Examining Data: Tables and Figures

2.1 An Example From the Research: Winning the Lottery

2.2 Why Examine Data?

2.3 Examining Data Using Tables

2.4 Grouped Frequency Distribution Tables

2.5 Examining Data Using Figures

2.6 Examining Data: Describing Distributions

Chapter 3: Measures of Central Tendency

3.1 An Example From the Research: The 10% Myth

3.2 Understanding Central Tendency

3.3 The Mode

3.4 The Median

3.5 The Mean

3.6 Comparison of the Mode, Median, and Mean

3.7 Measures of Central Tendency: Drawing Conclusions

Chapter 4: Measures of Variability

4.1 An Example From the Research: How Many “Sometimes” in an “Always”?

4.2 Understanding Variability

4.3 The Range

4.4 The Interquartile Range

4.5 The Variance (s2)

4.6 The Standard Deviation (s)

4.7 Measures of Variability for Populations

4.8 Measures of Variability: Drawing Conclusions

Chapter 5: Normal Distributions

5.1 Example: SAT Scores

5.2 Normal Distributions

5.3 The Standard Normal Distribution

5.4 Applying z-Scores to Normal Distributions

5.5 Standardizing Frequency Distributions

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

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

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

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

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

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

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

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Chapter 13: Correlation and Linear Regression

13.1 An Example From the Research: Snap Judgment

13.2 Introduction to the Concept of Correlation

13.3 Inferential Statistics: Pearson Correlation Coefficient

13.4 Predicting One Variable From Another: Linear Regression

13.5 Correlating Two Sets of Ranks: The Spearman Rank-Order Correlation

13.6 Correlational Statistics vs. Correlational Research

Chapter 14: Chi-Square

14.1 An Example From the Research (One Categorical Variable): Are You My Type?

14.2 Introduction to the Chi-Square Statistic

14.3 Inferential Statistic: Chi-Square Goodness-of-Fit Test

14.4 An Example From the Research (Two Categorical Variables): Seeing Red

14.5 Inferential Statistic: Chi-Square Test of Independence

14.6 Parametric and Nonparametric Statistical Tests