Applied Statistics for Engineers and Scientists

Author: Jay L. Devore,Nicholas R. Farnum,Jimmy A. Doi

Publisher: Cengage Learning

ISBN: 113311136X

Category: Mathematics

Page: 656

View: 6896

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This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS is ideal for one-term courses that cover probability only to the extent that it is needed for inference. The authors emphasize application of methods to real problems, with real examples throughout. The text is designed to meet ABET standards and has been updated to reflect the most current methodology and practice. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Applied Statistics for Engineers and Scientists

Using Microsoft Excel and Minitab

Author: David M. Levine,Patricia P. Ramsey,Robert K. Smidt

Publisher: Pearson

ISBN: N.A

Category: Computers

Page: 671

View: 3249

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This applied book for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software complete this treatment of statistics. Chapter topics include describing and summarizing data; probability and discrete probability distributions; continuous probability distributions and sampling distributions; process control charts; estimation procedures; hypothesis testing; the design of experiments; and simple linear and multiple regression models. For individuals interested in learning statistics–without a high level of mathematical sophistication. Please Note: The CD-ROM originally included is no longer available. However, the data files can be downloaded at www.prenhall.com/sincich. And the PHStat2 content can be purchased standalone.

Introduction to Probability and Statistics for Engineers and Scientists

Author: Sheldon M. Ross

Publisher: Academic Press

ISBN: 9780080919379

Category: Mathematics

Page: 680

View: 686

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This updated text 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 remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations. New to the 4th Edition: - New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests - 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science - New Real data examples that use significant real data from actual studies across life science, engineering, computing and business - New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material

Principles of Statistics for Engineers and Scientists

Author: William Cyrus Navidi

Publisher: College Ie Overruns

ISBN: 9780070166974

Category: Engineering

Page: 582

View: 1307

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Principles of Statistics for Engineers and Scientists offers the same crystal clear presentation of applied statistics as Bill Navidi's Statistics for Engineers and Scientists text, in a manner especially designed for the needs of a one-semester course that is focused on applications. By presenting ideas in the context of real-world data sets and with plentiful examples of computer output, the book is great for motivating students to understand the importance of statistics in their careers and their lives. The text features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly and the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

Applied Statistics for Engineers and Physical Scientists

Author: Robert V. Hogg,Johannes Ledolter

Publisher: Prentice Hall

ISBN: N.A

Category: Computers

Page: 472

View: 915

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Written by two specialists in statistics, the second edition of this text addresses the recommendations of the 1958 Report on Statistical Education for Engineers.

Applied Statistics for Engineers and Physical Scientists

Author: Johannes Ledolter,Robert V. Hogg

Publisher: Prentice Hall

ISBN: 9780136017981

Category: Computers

Page: 591

View: 8566

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This hugely anticipated revision has held true to its core strengths, while bringing the book fully up to date with modern engineering statistics. Written by two leading statisticians, Statistics for Engineers and Physical Scientists, Third Edition, provides the necessary bridge between basic statistical theory and interesting applications. Students solve the same problems that engineers and scientists face, and have the opportunity to analyze real data sets. Larger-scale projects are a unique feature of this book, which let students analyze and interpret real data, while also encouraging them to conduct their own studies and compare approaches and results. This book assumes a calculus background. It is appropriate for undergraduate and graduate engineering or physical science courses or for students taking an introductory course applied statistics.

Applied Statistics and Probability for Engineers

Author: Douglas C. Montgomery,George C. Runger

Publisher: John Wiley & Sons

ISBN: 0470053046

Category: Technology & Engineering

Page: 784

View: 5472

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Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

Statistics for Engineers and Scientists

Author: Navidi,William Cyrus Navidi

Publisher: N.A

ISBN: 9781259251603

Category: Bootstrap (Statistics)

Page: 910

View: 6785

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This title stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.

Statistics for Engineers and Scientists

Author: William Navidi

Publisher: McGraw-Hill Science, Engineering & Mathematics

ISBN: 9780073107677

Category: Technology & Engineering

Page: 869

View: 1771

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Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.

Statistical Design and Analysis of Experiments

With Applications to Engineering and Science

Author: Robert L. Mason,Richard F. Gunst,James L. Hess

Publisher: John Wiley & Sons

ISBN: 0471458511

Category: Mathematics

Page: 760

View: 1112

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Emphasizes the strategy of experimentation, data analysis, and theinterpretation of experimental results. Features numerous examples using actual engineering andscientific studies. Presents statistics as an integral component of experimentationfrom the planning stage to the presentation of theconclusions. Deep and concentrated experimental design coverage, withequivalent but separate emphasis on the analysis of data from thevarious designs. Topics can be implemented by practitioners and do not require ahigh level of training in statistics. New edition includes new and updated material and computeroutput.

Statistical Methods for Engineers and Scientists

Author: Robert M. Bethea

Publisher: Routledge

ISBN: 1351414372

Category: Mathematics

Page: 672

View: 9206

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This work details the fundamentals of applied statistics and experimental design, presenting a unified approach to data handling that emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern nonparametric methods; contains information on statistical process control and reliability; supplies fault and event trees; furnishes numerous additional end-of-chapter problems and worked examples; and more.

Applied Probability for Engineers and Scientists

Author: Ephraim Suhir

Publisher: McGraw-Hill Professional Publishing

ISBN: 9780070618602

Category: Mathematics

Page: 593

View: 9885

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This watershed resource shows how to use various probabilistic methods and approaches in practical problems of engineering and applied science. These methods enable readers to understand the behavior and performance of engineering products in the conditions of variability and uncertainty, and to ensure the effectiveness and durability of these products. Intended for engineers and applied scientists of different specialities, backgrounds, qualifications, and levels of experience, this straightforward and easy-to-use guide offers practical insight into the role of the ``laws of chance'' and causes and effects of variability in numerous design problems encountered in mechanical, structural, materials, reliability, telecommunications, and other areas of engineering. The book contains dozens of practical examples that demonstrate the key role that probabilistic methods can play in the analysis and design of viable and reliable engineering components, products, and systems.

Probability and Statistics for Engineers and Scientists

Author: Anthony J. Hayter

Publisher: Duxbury Press

ISBN: N.A

Category: Technology & Engineering

Page: 948

View: 1359

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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.

Statistics for Engineers and Scientists

Author: William Navidi

Publisher: McGraw-Hill Science/Engineering/Math

ISBN: 9780073376332

Category: Technology & Engineering

Page: 928

View: 6127

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Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

Loose Leaf for Statistics for Engineers and Scientists

Author: William Navidi

Publisher: McGraw-Hill Education

ISBN: 9780073515687

Category: Technology & Engineering

Page: 910

View: 4033

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Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition. McGraw-Hill is proud to offer Connect with the fourth edition of Navidi's, Statistics for Engineers and Scientists. This innovative and powerful system helps your students learn more efficiently and gives you the ability to customize your homework problems simply and easily. Track individual student performance - by question, assignment, or in relation to the class overall with detailed grade reports. ConnectPlus provides students with all the advantages of Connect, plus 24/7 access to an eBook. Navidi's Statistics for Engineers and Scientists, fourth edition, includes the power of McGraw-Hill’s LearnSmart--a proven adaptive learning system that helps students learn faster, study more efficiently, and retain more knowledge through a series of adaptive questions. This innovative study tool pinpoints concepts the student does not understand and maps out a personalized plan for success.

Even You Can Learn Statistics

A Guide for Everyone Who Has Ever Been Afraid of Statistics

Author: David M. Levine,David F. Stephan

Publisher: FT Press

ISBN: 9780137025930

Category: Business & Economics

Page: 384

View: 2608

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Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statisticsi s a practical, up-to-date introduction to statistics—for everyone! Thought you couldn’t learn statistics? You can—and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional “Equation Blackboard” sections reveal the mathematical foundations of statistics right before your eyes! You’ll learn how to: • Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3 • Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics • Use probability and probability distributions • Work with sampling distributions and confidence intervals • Test hypotheses with Z, t, chi-square, ANOVA, and other techniques • Perform powerful regression analysis and modeling • Use multiple regression to develop models that contain several independent variables • Master specific statistical techniques for quality and Six Sigma programs About the Web Site Download practice files, templates, data sets, and sample spreadsheet models—including ready-to-use solutions for your own work! www.ftpress.com/youcanlearnstatistics2e

Applied Statistics and Probability for Engineers, 6th Edition

Author: Douglas C. Montgomery

Publisher: Wiley Global Education

ISBN: 1118802268

Category: Technology & Engineering

Page: 920

View: 9061

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This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It is packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. This text shows how statistics, the science of data is just as important for engineers as the mechanical, electrical, and materials sciences.

Even You Can Learn Statistics and Analytics

An Easy to Understand Guide to Statistics and Analytics

Author: David M. Levine,David F. Stephan

Publisher: FT Press

ISBN: 0133382680

Category: Business & Economics

Page: 384

View: 881

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Thought you couldn’t learn statistics? You can – and you will! Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics – for everyone! Now fully updated for "big data" analytics and the newest applications, it'll teach you all the statistical techniques you’ll need for finance, marketing, quality, science, social science, and more – one easy step at a time. Simple jargon-free explanations help you understand every technique, and extensive practical examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than ever – all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models – including complete solutions you can put right to work! Learn how to do all this, and more: Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3 Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses with Z, t, chi-square, ANOVA, and other techniques Perform powerful regression analysis and modeling Use multiple regression to develop models that contain several independent variables Master specific statistical techniques for quality and Six Sigma programs Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional "Equation Blackboard" sections reveal the mathematical foundations of statistics right before your eyes. If you need to understand, evaluate, or use statistics in business, academia, or anywhere else, this is the book you've been searching for!