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Statistical Reasoning: Investigating a Claim of Discrimination | |
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Discrimination in the Workplace: Data Exploration | |
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Discrimination in the Workplace: Inference | |
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Exploring Distributions of Data | |
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Visualizing Distributions: Shape, Center, and Spread | |
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Summarizing Center and Spread | |
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Working with Summary Statistics | |
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The Normal Distribution | |
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Exploring the Relationship between Two Quantitative Variables | |
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Scatterplots | |
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Regression: Getting a Line on the Pattern | |
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Correlation: The Strength of a Linear Trend | |
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Diagnostics: Looking for Features That the Summaries Miss | |
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Sample Surveys and Experiments | |
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Random Sampling: Playing It Safe by Taking Chances | |
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Why Take Samples, and How Not To | |
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Experiments and Inference about Cause | |
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Designing Experiments to Reduce Variability | |
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Probability Models | |
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Models of Random Behavior | |
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The Addition Rule and Disjoint Events | |
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Conditional Probability and the Multiplication Rule | |
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Independent Events | |
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Probability Distributions | |
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Probability Distributions and Expected Value | |
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Rules for Means and Variances of Probability Distributions | |
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The Binomial Distribution | |
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Sampling Distributions | |
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Generating Sampling Distributions | |
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Sampling Distribution of the Sample Mean | |
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Sampling Distribution of the Sample Proportion | |
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Inference for a Proportion | |
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Estimating a Proportion with Confidence | |
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Confidence Interval for a Proportion | |
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A Significance Test for a Proportion: Interpreting a P-Value | |
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A Significance Test for a Proportion: Making a Decision | |
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Types of Errors and Power of a Test | |
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Comparing Two Populations: Inference for the Difference of Two Proportions | |
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A Confidence Interval for the Difference of Two Proportions | |
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A Significance Test for the Difference of Two Proportions | |
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Inference for Experiments and Observational Studies | |
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Inference for a Mean | |
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A Confidence Interval for a Mean | |
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A Significance Test for a Mean: Interpreting a P-Value | |
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Fixed-Level Tests | |
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Comparing Two Populations: Inference for the Difference of Two Means | |
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A Confidence Interval for the Difference of Two Means | |
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A Significance Test for the Difference of Two Means | |
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Inference for Paired Comparisons | |
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Chi-Square Tests | |
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Testing a Probability Model: The Chi-Square Goodness-of-Fit Test | |
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The Chi-Square Test of Homogeneity | |
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The Chi-Square Test of Independence | |
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Inference for Regression | |
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Variation in the Slope from Sample to Sample | |
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Making Inferences about Slopes | |
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Analysis of Variance | |
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A New Look at the Two-Sample t-Test | |
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One-Way ANOVA: When There Are More Than Two Groups | |
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A Two-Way Analysis of Variance: The Effectiveness of Blocking | |
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Two-Way ANOVA When the Treatments Have Factorial Structure | |
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Multiple Regression | |
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From One to Two Explanatory Variables | |
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From Two to More Explanatory Variables, including Categorical Variables | |
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Westvaco Revisited: Modern Distribution-Free Techniques | |
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Dealing with Small Samples of Categorical Data: Exact Tests | |
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Randomization Tests | |
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Martin versus Westvaco Revisited: Testing a Claim of Discrimination | |
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Statistical Tables | |
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Table A: Standard Normal Probabilities | |
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Table B: t-Distribution Critical Values | |
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Table C: x<sup>2</sup> Critical Values | |
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Table D: F-Distribution Critical Values | |
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Table E: Random Digits | |
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Glossary | |
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Brief Answers to Practice Problems and Selected Exercises | |
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Photo Credits | |
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Index | |
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To be delivered electronically (website): | |
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Transformations for Bivariate Data: | |
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When Conditions Aren't Met for Regression | |
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The Geometric Distribution | |
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Transformations for Univariate Data: When Conditions Aren't Met for a t-Test | |
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Statistics in Action: Case Studies | |
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Mum's the Word! | |
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Keeping Tabs on Americans | |
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Baseball: Does Money Buy Success? | |