applied statistics for engineers and scientists

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Applied Statistics For Engineers And Scientists

Author : Jay L. Devore
ISBN : 9781133111368
Genre : Mathematics
File Size : 77. 44 MB
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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

Author : Joseph D. Petruccelli
ISBN : 0135659531
Genre : Business & Economics
File Size : 71. 30 MB
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Disk contains: Portable MINITAB files.

Applied Statistics For Engineers And Physical Scientists

Author : Robert V. Hogg
ISBN : 9780321831477
Genre : Computers
File Size : 29. 39 MB
Format : PDF, Mobi
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. 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 For Engineers And Scientists

Author : David M. Levine
ISBN : UCSD:31822033772393
Genre : Computers
File Size : 22. 71 MB
Format : PDF, ePub
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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
ISBN : 0080919375
Genre : Mathematics
File Size : 81. 10 MB
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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

Statistics For Engineers And Scientists

Author : Navidi
ISBN : 1259251608
Genre : Bootstrap (Statistics)
File Size : 78. 4 MB
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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
ISBN : 0073107670
Genre : Technology & Engineering
File Size : 53. 42 MB
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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.

Principles Of Statistics For Engineers And Scientists

Author : William Cyrus Navidi
ISBN : 0070166978
Genre : Engineering
File Size : 26. 80 MB
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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.

Statistics For Engineers And Scientists

Author : William Navidi
ISBN : 9780073530789
Genre : Technology & Engineering
File Size : 25. 65 MB
Format : PDF
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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.

Probability And Statistics For Engineers And Scientists

Author : Anthony J. Hayter
ISBN : STANFORD:36105018366638
Genre : Technology & Engineering
File Size : 30. 35 MB
Format : PDF, ePub
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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.

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