Statistics for Engineering and the Sciences Student Solutions Manual PDF Download
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Author: William M. Mendenhall
Publisher: CRC Press
ISBN: 1498731856
Category : Mathematics
Languages : en
Pages : 458
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Book Description
A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.
Author: William M. Mendenhall
Publisher: CRC Press
ISBN: 1498731856
Category : Mathematics
Languages : en
Pages : 458
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Book Description
A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.
Author: William Mendenhall
Publisher:
ISBN: 9780029461433
Category :
Languages : en
Pages : 1036
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Book Description
Author: Julie Ann Seely
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 328
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Book Description
The student solutions manual contains the worked out solutions to all odd numbered problems in the book.
Author: William M. Mendenhall
Publisher: Chapman & Hall/CRC
ISBN: 9781138469624
Category :
Languages : en
Pages :
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Book Description
A companion to Mendenhall and Sincich�s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.
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:
ISBN: 9781305260597
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
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 the odd-numbered exercises in the text, giving you a way to check your answers and make sure you took the correct steps to arrive at them.
Author: William DeCoursey
Publisher: Elsevier
ISBN: 0080489753
Category : Mathematics
Languages : en
Pages : 417
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Book Description
Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job* Contains hundreds of solved problems and case studies, using real data sets* Avoids unnecessary theory
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: 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: 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.
