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 | |

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 s Is Known | |

Margin of Error | |

Confidence Intervals for One Population Mean When s Is Unknown | |

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 s Is Known | |

P-Values | |

Hypothesis Tests for One Population Mean When s is Unknown | |

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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