# probability and statistics for engineering and the sciences

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**Author** | : Jay L. Devore |

**Publisher** | : Cengage Learning |

**Release Date** | : 2015-01-01 |

**Pages** | : 768 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition. Always a favorite with statistics students, this calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals apply concepts, models, and methodologies in today's engineering and scientific careers. Jay Devore, an award-winning professor and internationally recognized author and statistician, emphasizes authentic problem scenarios in a multitude of examples and exercises, many of which involve real data, to show how statistics makes sense of the world. Mathematical development and derivations are kept to a minimum. The book also includes output, graphics, and screen shots from various statistical software packages to give you a solid perspective of statistics in action. A Student Solutions Manual, which includes worked-out solutions to almost all the odd-numbered exercises in the book, is available. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

**Author** | : Jay L. Devore |

**Publisher** | : Cengage Learning |

**Release Date** | : 2011-01-01 |

**Pages** | : 768 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**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.

**Author** | : Sheldon M. Ross |

**Publisher** | : Academic Press |

**Release Date** | : 2014-08-14 |

**Pages** | : 686 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross 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. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations. Clear exposition by a renowned expert author Real data examples that use significant real data from actual studies across life science, engineering, computing and business End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science New additions to proofs in the estimation section New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

**Author** | : Jay L. Devore |

**Publisher** | : Nelson Education |

**Release Date** | : 2011 |

**Pages** | : 768 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**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.

**Author** | : Jay L. Devore |

**Publisher** | : Duxbury Press |

**Release Date** | : 2011-02 |

**Pages** | : 222 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**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.

**Author** | : |

**Publisher** | : |

**Release Date** | : 2016 |

**Pages** | : |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:** **Author** | : Ronald E.. Walpole |

**Publisher** | : |

**Release Date** | : 2013-08-16 |

**Pages** | : 470 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**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.

**Author** | : Walpole |

**Publisher** | : Pearson Education India |

**Release Date** | : 2007-09 |

**Pages** | : 840 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:** **Author** | : Hongshik Ahn |

**Publisher** | : Cognella Academic Publishing |

**Release Date** | : 2016-12-15 |

**Pages** | : 342 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**Probability and Statistics for Science and Engineering with Examples in R teaches students how to use R software to obtain summary statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing. The first chapter introduces methods for describing statistics. Over the course of the subsequent eight chapters students will learn about probability, discrete and continuous distributions, multiple random variables, point estimation and testing, and inferences based on one and two samples. The book features a comprehensive table for each type of test to help students choose appropriate statistical tests and confidence intervals. Based on years of classroom experience and extensively class-tested, Probability and Statistics for Science and Engineering with Examples in R is designed for one-semester courses in probability and statistics, and specifically for students in the natural sciences or engineering. The material is also suitable for business and economics students who have studied calculus. Hongshik Ahn holds a Ph.D. in statistics from the University of Wisconsin, Madison. Dr. Ahn is currently a professor in the Department of Applied Mathematics and Statistics at Stony Brook University. He worked at National Center for Toxicological Research, FDA before joining Stony Brook University. Recently he served as the vice president of SUNY Korea. His research interests include tree-structured regression and classification, bioinformatics, generalized linear modeling, and risk assessment. Dr. Ahn has been working on NIH grants on various biostatistical and medical researches. He has been published in three book chapters and over 60 peer-reviewed journals. Dr. Ahn also published a book entitled Mathematical Analysis of Genesis, from Shinil Books.

**Author** | : Jay L. Devore |

**Publisher** | : Wadsworth Publishing Company |

**Release Date** | : 1995 |

**Pages** | : 183 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**This text emphasizes models, methodology, and applications rather than rigorous mathematical development and theory. It uses real data in both exercise sets and examples.

**Author** | : Ronald E. Walpole |

**Publisher** | : Pearson Higher Ed |

**Release Date** | : 2013-08-28 |

**Pages** | : 480 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**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.

**Author** | : Ronald E. Walpole |

**Publisher** | : |

**Release Date** | : 2002 |

**Pages** | : 730 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**For undergraduates studying engineering, science or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference motivated by applications. Assumes a background in calculus; offers a unique balance of theory and methodology.

**Author** | : Ronald E. Walpole |

**Publisher** | : Pearson Higher Ed |

**Release Date** | : 2016-08-15 |

**Pages** | : 816 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book. MyStatLab™ is not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

**Author** | : William M. Mendenhall |

**Publisher** | : CRC Press |

**Release Date** | : 2016-04-05 |

**Pages** | : 1182 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**Prepare Your Students for Statistical Work in the Real WorldStatistics for Engineering and the Sciences, Sixth Edition is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statist

**Author** | : Bilal M. Ayyub |

**Publisher** | : CRC Press |

**Release Date** | : 2016-04-19 |

**Pages** | : 663 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world p

**Author** | : Anthony J. Hayter |

**Publisher** | : Cengage Learning |

**Release Date** | : 2012-01-01 |

**Pages** | : 864 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**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.

**Author** | : Jay Devore |

**Publisher** | : Cengage Learning |

**Release Date** | : 2008-01-29 |

**Pages** | : 768 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**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.

**Author** | : Ronald E. Walpole |

**Publisher** | : Pearson Higher Ed |

**Release Date** | : 2013-08-29 |

**Pages** | : 864 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book.

**Author** | : Matthew A. Carlton |

**Publisher** | : Springer |

**Release Date** | : 2017-03-30 |

**Pages** | : 610 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the book’s page on the Springer website. A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8—available exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise). For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbook’s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four “core” chapters alone—a self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand – in R and MATLAB, including code so that students can create simulations. New to this edition • Updated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints • Extended and revised instructions and solutions to problem sets • Overhaul of Section 7.7 on continuous-time Markov chains • Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students

**Author** | : Bhisham C. Gupta |

**Publisher** | : John Wiley & Sons |

**Release Date** | : 2014-03-06 |

**Pages** | : 896 |

**ISBN** | : |

**Available Language** | : English, Spanish, And French |

**EBOOK SYNOPSIS:**Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.