Probability and Statistics for Engineering and the Sciences

Author: Jay Devore
Publisher: Cengage Learning
ISBN: 9780538733526
Release Date: 2011-01-01
Genre: Mathematics

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES evidences Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Aided by his lively and realistic examples, students go beyond simply learning about statistics--they also learn how to put statistical methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Introduction to Probability and Statistics for Engineers and Scientists

Author: Sheldon M. Ross
Publisher: Elsevier
ISBN: 0080470319
Release Date: 2004-07-21
Genre: Mathematics

Introduction to Probability and Statistics for Engineers and Scientists, Third Edition, provides an introduction to applied probability and statistics for engineering or science majors . This updated text emphasizes the manner in which probability yields insight into statistical problems, ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. The Third Edition includes new exercises, examples, homework problems, updated statistical material, and more. New exercises and data examples include: the one-sided Chebyshev inequality for data; logistics distribution and logistic regression; estimation and testing in proofreader problems; and product form estimates of life distributions. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and the enclosed CD-ROM includes unique, easy-to-use software that automates the required computations. This book is intended primarily for undergraduates in engineering and the sciences, and would be of particular interest to students in Industrial Engineering, Operations Research, Statistics, Mathematics, Computer Science, Electrical Engineering, Civil Engineering, Chemical Engineering, and Quantitative Business. It could also be of value in a graduate introductory course in probability and statistics. New in this edition: * New exercises and data examples including: - The One-sided Chebyshev Inequality for Data - The Logistics Distribution and Logistic Regression - Estimation and Testing in proofreader problems - Product Form Estimates of Life Distributions - Observational Studies * Updated statistical material * New, contemporary applications Hallmark features: * Reflects Sheldon Ross's masterfully clear exposition * Contains numerous examples, exercises, and homework problems * Unique, easy-to-use software automates required computations * Applies probability theory to everyday statistical problems and situations * Careful development of probability, modeling, and statistical procedures leads to intuitive understanding * Instructor's Solutions Manual is available to adopters

Probability and Statistics for Engineering and the Sciences

Author: Jay L. Devore
Publisher: Thomson Brooks/Cole
ISBN: UOM:39076001950752
Release Date: 1995
Genre: Mathematical statistics

This best-selling text is intended for applied introductory probability and statistics courses taken by students in engineering and the physical sciences (calculus prerequisite). It emphasizes models, methodology, and applications, rather than rigorous mathematical development and theory. It features real data in exercises and examples. Also includes: -- A chapter on joint probability distributions that introduces the concept of a statistic and its sampling distribution -- Many real-data sets throughout -- Strong coverage of computer-based methods, especially in analysis of variance and regression -- Increased coverage of data analysis in Chapter One -- Simulation experiments and bootstrapping techniques (Ch. 5) -- Updated material on quality control

Probability and Statistics for Engineers and Scientists

Author: Anthony J. Hayter
Publisher: Duxbury Press
ISBN: STANFORD:36105018366638
Release Date: 1996-01-01
Genre: Technology & Engineering

This introduction to probability and statistics for engineering and science students focuses on the fundamental concepts of statistical analysis, not on mathematical details or obscure techniques. The sequence of topics will fit almost all one-semester applied probability and statistics courses. The clear, thorough presentation of basic concepts is balanced by a wealth of applied examples and problems. Numerous in-text examples, problems, and real-life applications and illustrations demonstrate how a variety of computer-based statistical software packages (including Minitab) may be used in statistical analysis.

Probability and Statistics for Engineering and the Sciences

Author: Jay Devore
Publisher: Cengage Learning
ISBN: 9780495382171
Release Date: 2007-01-26
Genre: Mathematics

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Probability and Statistics for Engineers and Scientists

Author: Anthony J. Hayter
Publisher: Cengage Learning
ISBN: 9781111827045
Release Date: 2012-01-01
Genre: Mathematics

PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, Fourth Edition, continues the student-oriented approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily--and understands their vocabulary. The result of this familiarity with the professional community is a clear and readable writing style that students understand and appreciate, as well as high-interest, relevant examples and data sets that keep students' attention. A flexible approach to the use of computer tools, including tips for using various software packages, allows instructors to choose the program that best suits their needs. At the same time, substantial computer output (using MINITAB and other programs) gives students the necessary practice in interpreting output. Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in the fields of aerospace, biochemical, civil, electrical, environmental, industrial, mechanical, and textile engineering, as well as for students in physics, chemistry, computing, biology, management, and mathematics. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Probability and Statistics for Engineering and the Sciences Enhanced Review Edition

Author: Jay Devore
Publisher: Cengage Learning
ISBN: 9780495557449
Release Date: 2008-01-29
Genre: Mathematics

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Probability and Statistics for Engineering and Science

Author: Jay L. Devore
Publisher: Duxbury Press
ISBN: 0840065396
Release Date: 2011-02-01
Genre: Mathematics

Go beyond the answers--see what it takes to get there and improve your grade! This manual provides worked-out, step-by-step solutions to all of the odd-numbered problems in the text, giving you the information you need to truly understand how these problems are solved.

Essentials of Probability and Statistics for Engineers and Scientists

Author: Ronald E. Walpole
Publisher: Pearson College Division
ISBN: 0321783735
Release Date: 2013
Genre: Mathematics

Normal 0 false false false This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. The authors assume one semester of differential and integral calculus as a prerequisite.

Probability and Statistics for Engineers and Scientists

Author: Ronald E. Walpole
Publisher:
ISBN: 0138402086
Release Date: 1998
Genre: Mathematics

This classic, market leading text provides a rigorous introduction to basic probability theory and statistical inference for students with a background in calculus. The new edition features many new exercises and applications based on real data.

Essentials of Probability Statistics for Engineers Scientists Pearson New International Edition

Author: Ronald E. Walpole
Publisher: Pearson Higher Ed
ISBN: 9781292035734
Release Date: 2013-08-28
Genre:

For junior/senior undergraduates taking a one-semester probability and statistics course as applied to engineering, science, or computer science. This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. Students using this text should have the equivalent of the completion of one semester of differential and integral calculus.