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| Chapter Summary | |
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| Summary of notation | |
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| Chapter Exercises | |
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| Statistics: The Art and Science of Learning from Data | |
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| How Can You Investigate Using Data? | |
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| We Learn about Populations Using Samples | |
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| What Role do Computers Play in Statistics? | |
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| Exploring Data with Graphs and Numerical Summaries | |
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| 1What Are the Types of Data? | |
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| How Can We Describe Data Using Graphical Summaries? | |
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| How Can We Describe the Center of Quantitative Data? | |
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| How Can We Describe the Spread of Quantitative Data? | |
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| How Can Measures of Position Describe Spread? | |
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| How Are Descriptive Summaries Misused? | |
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| Association: Contingency, Correlation, and Regression | |
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| How Can We Explore the Association between Two Categorical Variables? | |
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| How Can We Explore the Association between Two Quantitative Variables? | |
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| How Can We Predict the Outcome of a Variable | |
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| What are Some Cautions in Analyzing Associations? | |
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| Gathering Data | |
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| Should We Experiment or Should We Merely Observe? | |
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| What Are Good Ways and Poor Ways to Sample? | |
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| What Are Good Ways and Poor Ways to Experiment? | |
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| What Are Other Ways to Perform Experimental and Observational Studies? | |
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| Probability in our Daily Lives | |
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| How Can Probability Quantify Randomness? | |
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| How Can We Find Probabilities? | |
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| Conditional Probability: What's the Probability of A, Given B? | |
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| Applying the Probability Rules | |
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| Probability Distributions | |
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| How Can We Summarize Possible Outcomes and their Probabilities? | |
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| How Can We Find Probabilities for Bell-Shaped Distributions? | |
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| How Can We Find Probabilities when Each Observation Has Two Possible | |
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| How Likely Are the Possible Values of a Statistic?: The Sampling Distribution | |
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| How Close Are Sample Means to Population Means | |
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| How Can We Make Inferences about a Population? | |
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| Statistical Inference: Confidence Intervals | |
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| What Are Point and Interval Estimates of Population Parameters? | |
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| How Can We Construct a Confidence Interval to Estimate a Population Proportion? | |
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| How Can We Construct a Confidence Interval to Estimate a Population Mean? | |
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| How Do We Choose the Sample Size for a Study | |
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| How Do Computers Make New Estimation Methods Possible? | |
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| Statistical Inference: Significance Tests about Hypotheses | |
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| What Are the Steps for Performing a Significance Test? | |
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| Significance Tests about Proportions | |
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| Significance Tests about Means | |
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| Decisions and Types of Errors in Significance Tests | |
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| Limitations of Significance Tests | |
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| How Likely Is Type Error (Not Rejecting Even though it's False)? | |
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| Comparing Two Groups | |
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| Categorical Response: How Can We Compare Two Proportions? | |
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| Quantitative Response: How Can We Compare Two Means? | |
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| Other Ways of Comparing Means and Comparing Proportions | |
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| How Can We Analyze Dependent Samples? | |
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| How Can We Adjust for Effects of Other Variables? | |
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| Analyzing the Association Between Categorical Variables | |
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| What Is Independence and What Is Association? | |
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| WhaHow Can We Test whether Categorical Variables are Independent? | |
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| How Strong is the Association? | |
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| How Can Residuals Reveal the Pattern of Association? | |
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| If the Sample Size is Small? Fisher's Exact Test | |
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| Analyzing Association between Quantitative Variables: Regression Analysis | |
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| How Can We "Model" How Two Variables Are Related? | |
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| How Can We Describe Strength of Association? | |
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| How Can We Make Inferences about the Association? | |
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| What Do We Learn from How the Data Vary around the Regression Line? | |
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| Exponential Regression: A Model for Nonlinearity | |
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| Multiple Regression | |
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| How Can We Use Several Variables to Predict a Response? | |
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| Extending the Correlation and R-squared for Multiple Regression | |
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| How Can We Use Multiple Regression to Make Inferences? | |
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| Checking a Regression Model Using Residual Plots | |
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| How Can Regression Include Categorical Predictors? | |
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| How Can We Model a Categorical Response? | |
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| Comparing Groups: Analysis of Variance Methods | |
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| How Can We Compare Several Means?: One-Way ANOVA | |
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| How Should We Follow Up an ANOVA F test | |
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| What if there Are Two Factors?: Two-way ANOVA | |
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| Nonparametric Statistics | |
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| How Can We Compare Two Groups by Ranking? | |
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| Nonparametric Methods for Several Groups and for Matched Pairs | |
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| Appendices | |
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| Tables | |
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| Selected Answers | |
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| Index | |
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| Photo Credits | |