Probability and statistics for engineering and the sciences

International student edition

Jay L. Devore

812 pages, parution le 25/09/2003 (6^eme édition)

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Résumé

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.

Benefits:

NEW! BCA Testing makes testing extremely easy for instructors.
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.
NEW! 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.
NEW! The expanded supplements package includes newly developed Microsoft PowerPoint slides to aid in classroom presentations.
NEW! Many new examples and additional real data throughout enhance the text's real-world flavor.
NEW! The polished exposition clarifies explanations and concepts throughout. Existing content has been fine-tuned to ensure clarity and comprehension.
NEW! 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.
NEW! There is more emphasis on the nature of variation in the slope estimate in simple linear regression
NEW! A detailed description of pooled t procedures provides a better balance between unpooled and pooled analyses.
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.

Overview and descriptive statistics
Probability
Discrete random variables and probability distributions
Continuous random variables and probability distributions.
Joint probability distributions and random samples
Point estimation
Statistical intervals based on a single sample
Tests of hypotheses based on a single sample
Inferences based on two samples
The analysis of variance
Multifactor analysis of variance
Simple linear regression and correlation
Nonlinear and multiple regression
Goodness-of-fit tests and categorical data analysis
Distribution-free procedures
Quality control methods
Appendix
Answer to odd-numbered exercises
Index

Caractéristiques techniques

	PAPIER
Éditeur(s)	Thomson
Auteur(s)	Jay L. Devore
Parution	25/09/2003
Édition	6^eme édition
Nb. de pages	812
Format	19 x 24
Couverture	Relié
Poids	1400g
Intérieur	2 couleurs
EAN13	9780534466831
ISBN13	978-0-534-46683-1