| Introduction to Statistics | |
| Why Is It Important to Learn | |
| Statistics (and How Do You Do That?) | |
| Review of Mathematics Used in Statistics | |
| Statistics and the Research Process | |
| The Logic of Research | |
| Samples and Populations | |
| Applying Descriptive and Inferential Statistics | |
| Understanding Experiments and Correlational Studies | |
| The Characteristics of Scores | |
| Statistics in Published Research | |
| Using Statistical Terms | |
| Frequency Distributions and Percentiles | |
| New Statistical Notation | |
| Why Is It Important to Know about Frequency Distributions? | |
| Simple Frequency Distributions | |
| Types of Frequency Distributions | |
| Relative Frequency and the Normal Curve | |
| Computing Cumulative Frequency and Percentile | |
| Statistics in Published Research: APA Publication Rules | |
| A Word about Grouped Frequency Distributions | |
| Measures of Central Tendency | |
| The Mean, Median, and Mode New Statistical Notation | |
| Why Is It Important to Know about Central Tendency? | |
| What Is Central Tendency? | |
| The Mode | |
| The Median The Mean | |
| Transformations and the Mean Deviations around the Mean | |
| Describing the Population Mean | |
| Summarizing an Experiment | |
| Statistics in Published Research: Using the Mean | |
| Measures of Variability: Range, Variance, and Standard Deviation | |
| New Statistical Notation | |
| Why Is It Important to Know about Measures of Variability? | |
| The Range | |
| Understanding the Variance and Standard Deviation | |
| Computing the Sample Variance | |
| Sample Standard Deviation | |
| The Population Variance and the Population | |
| Standard Deviation | |
| Summary of the Variance and Standard Deviation | |
| Applying the Variance and Standard Deviation to Research | |
| Statistics in Published Research | |
| Reporting Variability | |
| z-Scores and the Normal Curve Model | |
| New Statistical Notation | |
| Why Is It Important to Know about z-Scores? | |
| Understanding z-Scores | |
| Interpreting z-Scores | |
| Using the z-Distribution | |
| Using z-Scores to Compare | |
| Different Variables | |
| Using z-Scores to Determine the Relative | |
| Frequency of Raw Scores | |
| Statistics in Published Research: Using z-Scores | |
| Using z-Scores to Describe Sample Means | |
| The Correlation Coefficient | |
| New Statistical Notation | |
| Why Is It Important to Know about Correlation Coefficients? | |
| Understanding Correlational Research | |
| Types of Relationships | |
| Strength of the Relationship | |
| The Pearson Correlation Coefficient | |
| The Restriction of Range | |
| Problem Correlations in the Population | |
| Statistics in Published Research | |
| Correlation Coefficients | |
| Linear Regression | |
| New Statistical Notation | |
| Why Is It Important to Know about Linear Regression? | |
| Understanding Linear Regression | |
| The Linear Regression Equation | |
| Describing the Errors in Prediction | |
| Computing the Proportion of Variance Accounted For | |
| A Word About Multiple Correlation | |
| Regression Statistics in Published Research | |
| Linear Regression | |
| Using Probability to Make Decisions about Data | |
| New Statistical Notation | |
| Why Is It Important | |
| Know about Probability? | |
| The Logic of Probability | |
| Computing Probability | |
| Obtaining Probability from the Standard | |
| Normal Curve Random Sampling | |
| Sampling Error Deciding | |
| Whether a Sample Represents a Population | |
| Introduction to Hypothesis Testing | |
| New Statistical Notation | |
| Why Is It Important to Know about the z-Tests? | |
| The Role of Inferential | |
| Statistics in Research | |
| Setting Up Inferential Procedures | |
| Performing the z-Test | |
| Interpreting Significant Results | |
| Interpreting Nonsignificant | |
| Results Summary of the z-Test | |
| Statistics in Published Research | |
| Reporting Significance Tests | |
| The One-Tailed Test | |
| Errors in Statistical Decision Making | |
| Performing the One-Sample t-Test | |
| Testing Correlation Coefficients | |
| New Statistical Notation | |
| Why Is It Important to Know about t-Tests? | |
| Performing the One-Sample t-Test Estimating | |
| Computing a Confidence Interval | |
| Statistics in Published Research | |
| Reporting the t-Test | |
| Significance Tests for Correlation Coefficients | |
| Maximizing the Power of Statistical Tests | |
| The Two-Sample t-Test | |
| New Statistical Notation | |
| Why Is It Important to Know about the Two-Sample t-Test? | |
| Understanding the Two-Sample Experiment | |
| The Independent-Samples t-Test | |
| Summary of the Independent-Samples t-Test | |
| The Related-Samples t-Test | |
| Summary of the Related-Samples t-Test | |
| Describing the Relationship in a Two-Sample Experiment | |
| Statistics in Published Research: The Two-Sample Experiment | |
| The One-Way Analysis of Variance | |
| New Statistical Notation | |
| Why Is It Important to Know about ANOVA? | |
| An Overview of ANOVA | |
| Components of the ANOVA | |
| Performing the ANOVA | |
| Performing Post | |
| Hoc Comparisons | |
| Summary of Steps in Performing a One-Way ANOVA | |
| Additional Procedures in the One-Way ANOVA | |
| Statistics in Published Research: Reporting ANOVA | |
| The Two-Way Analysis of Variance | |
| New Statistical Notation | |
| Why Is It Important to Know about the Two-Way ANOVA? | |
| Understanding the Two-Way Design | |
| Overview of the Two-Way | |
| Between-Subjects ANOVA Computing the Two-Way | |
| ANOVA Interpreting the Two-Way Experiment | |
| Summary of the Steps in Performing a Two-Way ANOVA | |
| Statistics in Published Research: Reporting ANOVA | |
| Chi Square and Other Nonparametric Procedures | |
| New Statistical Notation | |
| Why Is It Important to Know about Nonparametric Procedures? | |
| Chi Square Procedures | |
| One-Way Chi Square | |
| The Two-Way Chi Square | |
| Statistics in Published Research | |
| Reporting Chi Square Nonparametric | |
| Procedures for Ranked Data | |
| Appendices | |
| Additional Statistical Formulas | |
| Using SPSS | |
| Statistical Tables | |
| Answers to Odd-Numbered Questions | |
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