This market-leading text provides a comprehensive introduction to probability and statistics for students in engineering and the physical and natural sciences. It is a proven, accurate book with great examples from an outstanding author, Jay Devore. Through the use of lively and realistic examples, students go beyond simply learning about statistics--they actually experience its potential. The book emphasizes concepts, models, methodology and applications, as opposed to rigorous mathematical development and derivations.

New to the Edition

• BCA Testing makes testing extremely easy for instructors.
• Inclusion of Java Applets from Gary McClelland's Seeing Statistics allows students to experience statistics firsthand. The applets have been specifically designed for this calculus-based text.
• The expanded supplements package includes newly developed Microsoft PowerPoint slides to aid in classroom presentations.
• Many new examples and additional real data throughout enhance the text's real-world flavor.
• The polished exposition clarifies explanations and concepts throughout. Existing content has been fine-tuned to ensure clarity and comprehension.
• Over 100 new and updated exercises appear in the text. Many of these new exercises pose open-ended questions to students asking them to explore data. Additional types of problems ask students to recall material from several chapters, providing a cumulative review of key concepts.
• There is more emphasis on the nature of variation in the slope estimate in simple linear regression
• A detailed description of pooled t procedures provides a better balance between unpooled and pooled analyses.

Features

• Each chapter includes a wealth of great exercises both at the end of each section and in a section of supplementary exercises at the close of each chapter.
• Devore is passionate about the use of real data in exercises and examples to stimulate student interest and enhances comprehension of complicated concepts. Virtually every example and exercise contains a real world context; this is not mathematics for the sake of mathematics!
• The text's strong computer coverage, especially as it relates to ANOVA and regression, is supported by an abundance of computer output (from SAS and MINITAB) and coverage of computer methods.
• The author is highly regarded as a leader in the academic community, has written several successful statistics textbooks, and teaches this course regularly at Cal Poly.
• "Simulation Experiments" help students gain an understanding of sampling distributions and the insight they provide, especially when a derivation is too complex to carry out.
• From the outset, the book places a strong emphasis on the role that variation plays in statistics.