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| The Purpose of Statistical Data Analysis | |
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| The Overall Goal of Statistical Data Analysis | |
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| Variables | |
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| Graphical and Numerical Descriptions of Data | |
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| Displaying Data as Distributions of Frequencies | |
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| Numerical Descriptions of Frequency Distributions | |
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| Linear Transformations of Scale and z-Scores | |
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| Modeling Data and the Estimation of Parameters | |
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| Imperfect Predictions, Models, and Residuals | |
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| Estimating the Parameters of a Model | |
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| Fitting Models with Categorical Predictor Variables | |
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| Probabilities Distributions | |
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| The Law of Large Numbers and the Meaning of Probability | |
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| Discrete Probability Distributions | |
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| The Central Limit Theorem and the Normal | |
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| Distribution | |
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| Obtaining Probabilities for Normally Distributed Variables | |
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| The Normal Distribution as a Model for Residuals | |
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| Sampling Distributions and Interval Estimation | |
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| The Sampling Distribution of the Mean | |
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| Calculating Confidence Intervals | |
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| Interpreting Confidence Intervals | |
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| Experiments with Two Independent Groups | |
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| Independent Groups Design | |
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| Analyzing Data from Independent Group Designs with Two Treatments | |
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| Deciding Between Models Using the t-distribution Directly | |
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| Decision Error Rates: The Neyman-Pearson Tradition | |
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| Overview and Evaluation | |
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| Larger Experiments with Independent Groups--Analysis of Variance | |
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| Models for Experiments With More Than Two Conditions | |
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| Evaluating the Null Model: Analysis of Variance | |
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| The Analysis of Variance of Factorial Designs | |
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| Increasing the Precision of an Experiment | |
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| Choosing an Appropriate Value of n in Two-Condition Experiments | |
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| Reducing Residuals by Using Matched Pairs | |
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| Matching and Within-Subjects Designs with More than Two Conditions | |
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| Experiments with Quantitative Predictor and Response Variables--Simple Linear Regression Examples | |
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| The Linear Model (Review) | |
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| Making Predictions | |
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| Correlation | |
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| Assumptions and Factors Influencing Correlation and Regression | |
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| Analyzing Data From Studies With Categorical Predictor and Response | |
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| Variables (Count Data) | |
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| Models for Proportions | |
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| Testing Goodness of Fit | |
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| Testing Independence in Two-Way Tables | |
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| Review | |
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| An Overview of Statistical Data Analysis | |
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| Extensions | |
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| Appendixes | |