Introduction to the Practice of Statistics

Introduction to the Practice of Statistics is the classic textbook for teaching statistics. This textbook shows students how to produce and interpret data from real-world contexts, guiding them through the type of data gathering and analysis that working statisticians do every day. With this phenomenally successful approach developed by David Moore and George McCabe, statistics is more than just a collection of techniques and formulas. Instead, students develop a way of thinking about data with a focus on problem-solving that helps them understand concepts and master statistical reasoning. Part of the best-selling Moore family of statistics books, Introduction to the Practice of Statistics is designed for a two-semester 'introduction to statistics' course and offers a rigorous introduction to the subject. This textbook is available on LaunchPad, which combines an interactive ebook with multimedia content and assessment tools, including LearningCurve adaptive quizzing. See 'Instructor Resources' and 'Student Resources' for further information.

- Available on LaunchPad - an innovative online teaching tool with interactive elements and adaptive questions.  Textbook examines the nature of modern statistics, focusing on the production and analysis of data as well as the traditional topics of probability and inference. Inference is treated as a tool that helps statisticians draw conclusions from data in an appropriate way. Real examples drive the exposition so students learn the conceptual ties between regression and correlation and the importance of looking for influential observations. Beyond the Basics sections give quick overviews of topics such as density estimation, scatterplot smoothers, data mining, nonlinear regression, and metaanalysis.  Objectives at the beginning of each section help to identify what students will learn by the end of the section. New_to_this_edition - Over 30% of the 1700 exercises are new or revised, and over 30% of the 430 examples are new or revised. Coverage of mosaic plots as a visual tool for relationships between two categorical variables has been added to Chapters 2 and 9. Coverage of equivalence testing has been added to Chapter 7. Greater emphasis on sample size determination using software in Chapters 7 and 8.