Solutions Manual for Probability and Statistics for Engineering and the Sciences, Fourth Edition PDF Download
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Author: Jay L. Devore
Publisher:
ISBN: 9780534242664
Category : Probabilities
Languages : en
Pages : 324
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Book Description
Author: Jay L. Devore
Publisher:
ISBN: 9780534242664
Category : Probabilities
Languages : en
Pages : 324
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Book Description
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: Sharon L. Myers
Publisher: Prentice Hall
ISBN: 9780131877139
Category : Education
Languages : en
Pages : 129
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Book Description
Fully worked solutions to odd-numbered exercises
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:
Publisher:
ISBN: 9781337762021
Category :
Languages : en
Pages :
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Book Description
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: Matthew A. Carlton
Publisher:
ISBN: 9780840065391
Category : Mathematical statistics
Languages : en
Pages : 0
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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: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 0470526947
Category : Technology & Engineering
Languages : en
Pages : 9
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Book Description
This Student Solutions Manual is meant to accompany Engineering Statistics, 4th Edition by Douglas Montgomery, which focuses on how statistical tools are integrated into the engineering problem-solving process, this book provides modern coverage of engineering statistics. It presents a wide range of techniques and methods that engineers will find useful in professional practice. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, building regression models, designing and analyzing engineering experiments, and more.