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| Introduction to Data | |
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| What Are Data? | |
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| Classifying and Storing Data | |
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| Organizing Categorical Data | |
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| Collecting Data to Understand Causality | |
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| Picturing Variation with Graphs | |
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| Visualizing Variation in Numerical Data | |
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| Summarizing Important Features of a Numerical Distribution | |
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| Visualizing Variation in Categorical Variables | |
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| Summarizing Categorical Distributions | |
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| Interpreting Graphs | |
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| Numerical Summaries of Center and Variation | |
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| Summaries for Symmetric Distributions | |
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| What's Unusual? The Empirical Rule and z-Scores | |
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| Summaries for Skewed Distributions | |
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| Comparing Measures of Center | |
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| Using Boxplots for Displaying Summaries | |
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| Regression Analysis: Exploring Associations between Variables | |
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| Visualizing Variability with a Scatterplot | |
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| Measuring Strength of Association with Correlation | |
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| Modeling Linear Trends | |
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| Evaluating the Linear Model | |
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| Modeling Variation with Probability | |
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| What is Randomness? | |
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| Finding Theoretical Probabilities | |
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| Associations in Categorical Variables | |
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| The Law of Large Numbers | |
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| Modeling Random Events: The Normal and Binomial Models | |
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| Probability Distributions Are Models of Random Experiments | |
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| The Normal Model | |
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| The Binomial Model | |
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| Survey Sampling and Inference | |
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| Learning about the World through Surveys | |
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| Measuring the Quality of a Survey | |
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| The Central Limit Theorem for Sample Proportions | |
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| Estimating the Population Proportion with Confidence Intervals | |
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| Hypothesis Testing for Population Proportions | |
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| The Main Ingredients of Hypothesis Testing | |
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| Characterizing p-values | |
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| Hypothesis Testing in Four Steps | |
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| Comparing Proportions from Two Populations | |
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| Understanding Hypothesis Testing | |
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| Inferring Population Means | |
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| Sample Means of Random Samples | |
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| The Central Limit Theorem for Sample Means | |
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| Answering Questions about the Mean of a Population | |
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| Comparing Two Population Means | |
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| Overview of Analyzing Means | |
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| Associations between Categorical Variables | |
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| The Basic Ingredients for Testing with Categorical Variables | |
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| Chi-Square Tests for Associations between Categorical Variables | |
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| Reading Research Papers | |