Student Solutions Manual for Probability and Statistics for Engineering and the Sciences, Fourth Edition PDF Download
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Author: Jay L. Devore
Publisher: Duxbury Resource Center
ISBN: 9780534242657
Category : Mathematical statistics
Languages : en
Pages : 0
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Book Description
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: Jay L. Devore
Publisher: Duxbury Resource Center
ISBN: 9780534242657
Category : Mathematical statistics
Languages : en
Pages : 0
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Book Description
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: Janet Susan Milton
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 824
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Book Description
This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.
Author: William Navidi
Publisher: McGraw-Hill Science/Engineering/Math
ISBN: 9780073376332
Category : Technology & Engineering
Languages : en
Pages : 928
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Book Description
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.
Author: Anthony J. Hayter
Publisher: Thomson Brooks/Cole
ISBN: 9781133112143
Category : Mathematics
Languages : en
Pages : 826
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Book Description
PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, 4E, International Edition continues the 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 readers understand and appreciate, as well as high-interest, relevant examples and data sets that hold readers' attention. A flexible approach to the use of computer tools includes tips for using various software packages as well as computer output (using MINITAB and other programs) that offers practice in interpreting output. Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in a variety of engineering areas as well as for students in physics, chemistry, computing, biology, management, and mathematics.
Author: Jay Devore
Publisher: Cengage Learning
ISBN: 9780495382171
Category : Mathematics
Languages : en
Pages : 768
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Book Description
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: Alan Agresti
Publisher: Pearson
ISBN: 9780134512792
Category : Social sciences
Languages : en
Pages : 0
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Book Description
This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.
Author: Ronald E. Walpole
Publisher:
ISBN: 9780134115856
Category : Engineering
Languages : en
Pages : 0
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Book Description
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. Also available with MyStatLab MyStatLab(tm) 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. Note: You are purchasing a standalone product; MyLab(tm) & Mastering(tm) does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab & Mastering, search for: 0134468910 / 9780134468914 Probability & Statistics for Engineers & Scientists, MyStatLab Update with MyStatLab plus Pearson eText -- Access Card Package 9/e Package consists of: 0134115856 / 9780134115856 Probability & Statistics for Engineers & Scientists, MyStatLab Update 0321847997 / 9780321847997 My StatLab Glue-in Access Card 032184839X / 9780321848390 MyStatLab Inside Sticker for Glue-In Packages
Author: Arthur Aron (Ph. D.)
Publisher:
ISBN: 9780134419107
Category : Social sciences
Languages : en
Pages : 514
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Book Description
Key Terms; Example Worked-Out Problems; Practice Problems; Using SPSS; Answers to "How are you doing?"; 2 The Mean, Variance, Standard Deviation, and Z Scores; Representative Values; Bringing Statistics to Life Box 2-1 The Psychology of Statistics and the Tyranny of the Mean; Variability; Z Scores; Mean, Variance, Standard Deviation, and Z Scores in Research Articles; Learning Aids; Summary; Key Terms; Example Worked-Out Problems; Practice Problems; Using SPSS; Answers to "How are you doing?"; 3 Correlation and Prediction; Graphing Correlations; Patterns of Correlation
Author: William Cyrus Navidi
Publisher: McGraw-Hill
ISBN:
Category : Mathematics
Languages : en
Pages : 936
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Book Description
Author: Michael Akritas
Publisher: Pearson
ISBN: 9780134995359
Category : Engineering
Languages : en
Pages : 528
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Book Description
This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. This text grew out of the author's notes for a course that he has taught for many years to a diverse group of undergraduates. The early introduction to the major concepts engages students immediately, which helps them see the big picture, and sets an appropriate tone for the course. In subsequent chapters, these topics are revisited, developed, and formalized, but the early introduction helps students build a true understanding of the concepts. The text utilizes the statistical software R, which is both widely used and freely available (thanks to the Free Software Foundation). However, in contrast with other books for the intended audience, this book by Akritas emphasizes not only the interpretation of software output, but also the generation of this output. Applications are diverse and relevant, and come from a variety of fields.
