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| (Note: Each chapter begins with Where You've Been and Where You're Going sections and concludes with Uses and Abuses, Chapter Summary, Review Exercises, Chapter Quiz, Real Statistics-Real Decisions Putting it all Together, and Technology sections.) | |
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| Introduction to Statistics | |
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| An Overview of Statistics | |
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| Data Classification | |
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| Case Study: Rating Television Shows in the United States | |
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| Experimental Design | |
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| Descriptive Statistics | |
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| Frequency Distributions and Their Graphs | |
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| More Graphs and Displays | |
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| Measures of Central Tendency | |
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| Measures of Variation | |
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| Case Study: Earnings of Athletes | |
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| Measures of Position | |
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| Probability | |
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| Basic Concepts of Probability | |
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| Conditional Probability and the Multiplication Rule | |
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| The Addition Rule | |
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| Case Study: Probability and Parking Lot Strategies | |
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| Additional Topics in Probability and Counting | |
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| Discrete Probability Distributions | |
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| Probability Distributions | |
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| Binomial Distributions | |
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| Case Study: Binomial Distribution of Airplane Accidents | |
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| More Discrete Probability Distributions | |
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| Normal Probability Distributions | |
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| Introduction to Normal Distributions and the Standard Normal Distribution | |
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| Normal Distributions: Finding Probabilities | |
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| Normal Distributions: Finding Values.Case Study: Birth Weights in America | |
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| Sampling Distributions and The Central Limit Theorem | |
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| Normal Approximations to Binomial Distributions | |
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| Confidence Intervals | |
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| Confidence Intervals for the Mean (Large Samples) | |
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| Case Study: Shoulder Heights of Appalachian Black Bears | |
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| Confidence Intervals for the Mean (Small Samples) | |
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| Confidence Intervals for Population Proportions | |
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| Confidence Intervals for Variance and Standard Deviation | |
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| Hypothesis Testing with One Sample | |
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| Introduction to Hypothesis Testing | |
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| Hypothesis Testing for the Mean (Large Samples) | |
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| Case Study: Human Body Temperature: What's Normal? Hypothesis Testing for the Mean (Small Samples) | |
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| Hypothesis Testing for Proportions | |
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| Hypothesis Testing for the Variance and Standard Deviation | |
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| Hypothesis Testing with Two Samples | |
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| Testing the Difference Between Means (Large Independent Samples) | |
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| Case Study: Oatbran and Cholesterol Level | |
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| Testing the Difference Between Means (Small Independent Samples) | |
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| Testing the Difference Between Means (Dependent Samples) | |
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| Testing the Difference Between Proportions | |
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| Correlation and Regression | |
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| Correlation | |
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| Linear Regression | |
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| Case Study: Correlation of Body Measurements | |
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| Measures of Regression and Prediction Intervals | |
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| Multiple Regression | |
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| Chi-Square Tests and the F-Distribution | |
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| Goodness of Fit | |
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| Independence | |
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| Case Study: Traffic Safety Facts | |
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| Comparing Two Variances | |
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| Analysis of Variance | |
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| Nonparametric Tests | |
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| The Sign Test | |
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| The Wilcoxon Tests | |
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| Case Study: Health and Nutrition | |
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| The Kruskal-Wallis Test | |
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| Rank Correlation | |
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| Runs Test | |
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| Alternative Presentation of the Standard Normal Distribution | |
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| Standard Normal Distribution Table (0-to-z) | |
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| Alternate Presentation of the Standard Normal Distribution | |
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| Tables | |