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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