Preface | p. VII |

How to Make a Decision with Statistics | p. 1 |

Introduction--Statistics and the Scientific Method | p. 1 |

Decisions, Decisions | p. 2 |

The Language of Statistical Decision Making | p. 3 |

What's in the Bag? | p. 12 |

Significant versus Important | p. 36 |

Producing Data | p. 59 |

Introduction | p. 59 |

Why Sample? | p. 60 |

The Language of Sampling | p. 60 |

Good Data? | p. 63 |

Simple Random Sampling | p. 68 |

Stratified Random Sampling | p. 75 |

Systematic Sampling | p. 81 |

Cluster Sampling | p. 85 |

Multistage Sampling | p. 89 |

Observational Studies and Experiments | p. 105 |

Introduction | p. 105 |

Why Study Studies? | p. 105 |

The Language of Studies | p. 106 |

Understanding Observational Studies | p. 113 |

Understanding Experiments | p. 118 |

Reading with a Critical Eye | p. 130 |

What about Ethics? | p. 134 |

Summarizing Data Graphically | p. 147 |

Introduction | p. 147 |

What Are We Summarizing? | p. 148 |

Displaying Distributions--Qualitative Variables | p. 157 |

Displaying Distributions--Quantitative Variables | p. 163 |

Guidelines for Plots, Graphs, and Pictures | p. 181 |

Summarizing Data Numerically | p. 193 |

Introduction | p. 193 |

Measuring Center | p. 194 |

Measuring Variation or Spread | p. 203 |

Linear Transformations and Standardization | p. 220 |

Using Models to Make Decisions | p. 235 |

Introduction | p. 235 |

Why Do We Need to Know Models? | p. 236 |

Modeling Continuous Variables | p. 237 |

Modeling Discrete Variables | p. 257 |

Is There a Relationship? | p. 277 |

Introduction | p. 277 |

Two Quantitative Variables | p. 278 |

When Scatterplots Don't Work: Two Qualitative Variables | p. 322 |

How to Measure Uncertainty with Probability | p. 349 |

Introduction | p. 349 |

What Is Probability? | p. 350 |

Simulating Probabilities | p. 351 |

The Language of Probability | p. 358 |

Random Variables | p. 383 |

Sampling Distributions: Measuring the Accuracy of Sample Results | p. 415 |

Introduction | p. 415 |

Sampling Distribution of a Sample Proportion | p. 416 |

Bias and Variability | p. 422 |

Sampling Distribution of a Sample Mean | p. 438 |

Making Decisions with Confidence | p. 455 |

Introduction | p. 455 |

Making Decisions about a Population Proportion | p. 456 |

Making Decisions about a Population Mean | p. 470 |

Confidence Interval Estimation: For a Proportion | p. 488 |

Confidence Interval Estimation: For a Mean | p. 499 |

Confidence Intervals and Hypothesis Testing | p. 507 |

Comparing Two Treatments | p. 527 |

Introduction | p. 527 |

Paired Samples versus Independent Samples | p. 529 |

Paired Samples | p. 534 |

Independent Samples: Comparing Means | p. 543 |

Independent Samples: Comparing Proportions | p. 559 |

Comparing Many Treatments | p. 577 |

Introduction | p. 577 |

Analysis of Variance | p. 580 |

The F-Test Statistic and the F-distribution | p. 585 |

ANOVA: Letting the Computer Do the Work! | p. 590 |

How Do We Get the Mean Squares? | p. 593 |

What Does Reject H[subscript 0] in ANOVA Mean? (And What Doesn't It Mean?) | p. 600 |

Analysis of Count Data | p. 613 |

Introduction | p. 613 |

The Chi-Square Statistic | p. 614 |

Test of Goodness of Fit | p. 617 |

Test of Homogeneity | p. 625 |

Test of Independence | p. 634 |

Appendix | p. 653 |

Answers to Odd-Numbered Exercises | p. 663 |

Index | p. 674 |

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