## The Basic Practice of StatisticsThe Basic Practice of Statistics has become a bestselling textbook by focusing on how statistics are gathered, analyzed, and applied to real problems and situations—and by confronting student anxieties about the course's relevance and difficulties head on. With David Moore's pioneering "data analysis" approach (emphasizing statistical thinking over computation), engaging narrative and case studies, current problems and exercises, and an accessible level of mathematics, there is no more effective textbook for showing students what working statisticians do and what accurate interpretations of data can reveal about the world we live in. In the new edition, you will once again see how everything fits together. As always, Moore's text offers balanced content, beginning with data analysis, then covering probability and inference in the context of statistics as a whole. It provides a wealth of opportunities for students to work with data from a wide range of disciplines and real-world settings, emphasizing the big ideas of statistics in the context of learning specific skills used by professional statisticians. Thoroughly updated throughout, the new edition offers new content, features, cases, data sources, and exercises, plus new media support for instructors and students—including the latest version of the widely-adopted StatsPortal. The full picture of the contemporary practice of statistics has never been so captivatingly presented to an uninitiated audience. |

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### Contents

Exploring Data | 1 |

CHAPTER | 25 |

Describing Distributions | 39 |

CHAPTER 3 | 58 |

The Normal Distributions | 67 |

RELATIONSHIPS | 95 |

CHAPTER 5 | 125 |

Regression 125 | 148 |

TwoSample Problems | 471 |

CATEGORICAL RESPONSE VARIABLE | 501 |

Comparing Two Proportions | 523 |

Inference about Relationships | 558 |

iv | 559 |

CHAPTER 19 | 591 |

Inference for Regression | 595 |

Accurate confidence intervals | 641 |

TwoWay Tables | 161 |

Part I Review | 177 |

PART | 192 |

From Exploration to Inference | 198 |

Experiments | 223 |

DATA ETHICS | 249 |

PROBABILITY AND SAMPLING DISTRIBUTIONS | 261 |

Sampling Distributions | 291 |

General Rules of Probability | 315 |

Binomial Distributions | 339 |

Introduction to Inference | 359 |

CHAPTER 15 | 393 |

Review | 421 |

Inference about Variables | 440 |

PART | 644 |

Significance tests for comparing proportions 530 | 648 |

Nonparametric Tests 251 | 459 |

Optional Companion Chapters | 462 |

CHAPTER 26 | 484 |

Statistical Process Control 261 | 497 |

Statistical Process Control 261 | 498 |

CHAPTER 27 | 545 |

CHAPTER 28 | 597 |

Multiple Regression 271 | 602 |

More About Analysis of Variance | 621 |

More about Analysis of Variance 281 | 656 |

PART | 692 |

### Common terms and phrases

adults analysis applet APPLY YOUR KNOWLEDGE approximately average binomial binomial distribution calculator categorical variable Chapter chi-square choose conﬁdence interval control charts control limits correlation degrees of freedom density curve describe digits effect estimate Example Exercise experiment Explain explanatory variable F statistic Figure ﬁnd ﬁrst ﬁt ﬁve ﬁxed four-step process give height histogram individual inﬂuence linear lurking variables margin of error measure median Minitab Normal curve Normal distribution null hypothesis outcomes outliers output overall P-value parameter pattern percent plot population mean predicting probability procedures proportion quantitative variable quartiles random sample randomly regression line relationship residuals response variable sample means sampling distribution scatterplot scores shows signiﬁcantly skewed speciﬁc standard deviation standard error standard Normal statistically signiﬁcant stemplot subjects survey test statistic treatment two-sample two-way table variation Wilcoxon women