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| Introduction | |
| The Nature of Statistics | |
| Case Study: Top Films of All Time | |
| Two Kinds of Statistics | |
| The Technology Center | |
| Simple Random Sampling | |
| Other Sampling Designs | |
| Experimental Designs | |
| Descriptive Statistics | |
| Organizing Data | |
| Case Study: Preventing Infant Mortality | ... MORE |
| Variables and Data | |
| Grouping Data | |
| Graphs and Charts | |
| Stem-and-Leaf Diagrams | |
| Distribution Shapes; Symmetry and Skewness | |
| Misleading Graphs | |
| Descriptive Measures | |
| Case Study: New York Yankees Y2K Salaries | |
| Measures of Center | |
| The Sample Mean | |
| Measures of Variation; the Sample Standard Deviation | |
| The Five-Number Summary; Boxplots | |
| Descriptive Measures for Populations; Use of Samples | |
| Descriptive Methods in Regression and Correlation | |
| Case Study: Fat Consumption and Prostate Cancer | |
| Linear Equations With One Independent Variable | |
| The Regression Equation | |
| The Coefficient of Determination | |
| Linear Correlation | |
| Probability, Random Variables, and Sampling Distributions | |
| Probability and Random Variables | |
| Case Study: The Powerball | |
| Probability Basics | |
| Events | |
| Some Rules of Probability | |
| Discrete Random Variables and Probability Distributions | |
| The Mean and Standard Deviation of a Discrete Random Variable | |
| The Binomial Distribution | |
| The Normal Distribution | |
| Case Study: Chest Sizes of Scottish Militiamen | |
| Introducing Normally Distributed Variables | |
| Areas Under the Standard Normal Curve | |
| Working With Normally Distributed Variables | |
| Assessing Normality; Normal Probability Plots | |
| The Sampling Distribution of the Sample Mean | |
| Case Study: The Chesapeake and Ohio Freight Study | |
| Sampling Error; the Need for Sampling Distributions | |
| The Mean and Standard Deviation of x | |
| The Sampling Distribution of the Sample Mean | |
| Inferential Statistics | |
| Confidence Intervals for One Population Mean | |
| Case Study: The Chips Ahoy! 1,000 Chips Challenge | |
| Estimating a Population Mean | |
| Confidence Intervals for One Population Mean When | |
| Margin of Error | |
| Confidence Intervals for One Population Mean When | |
| Hypothesis Tests for One Population Mean | |
| Case Study: Sex and Sense of Direction | |
| The Nature of Hypothesis Testing | |
| Terms, Errors, and Hypotheses | |
| Hypothesis Tests for One Population Mean When | |
| P-Values | |
| Hypothesis Tests for One Population Mean When | |
| Inferences for Two Population Means | |
| Case Study: Breast Milk and IQ | |
| The Sampling Distribution of the Difference Between Two Sample Means for Independent Samples | |
| Inferences for Two Population Means Using Independent Samples: Standard Deviations Assumed Equal | |
| Inferences for Two Population Means Using Independent Samples: Standard Deviations Not Assumed Equal | |
| Inferences for Two Population Means Using Paired Samples | |
| Inferences for Population Proportions | |
| Case Study: Double-Dipping ATM Fees | |
| Confidence Intervals for One Population Proportion | |
| Hypothesis Tests for One Population Proportion | |
| Inferences for Two Population Proportions Using Independent Samples | |
| Chi-Square Procedures | |
| Case Study: Road Rage | |
| The Chi-Square Distribution | |
| Chi-Square Goodness-Of-Fit Test | |
| Contingency Tables; Association | |
| Chi-Square Independence Test | |
| Analysis of Variance (ANOVA) | |
| Case Study: Heavy Drinking Among College Students | |
| The F-Distribution | |
| One-Way ANOVA: The Logic | |
| One-Way ANOVA: The Procedure | |
| Inferential Methods In Regression and Correlation | |
| Case Study: Fat Consumption and Prostate Cancer | |
| The Regression Model | |
| Analysis of Residuals | |
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