Statistics For Engineering and The Science 5th Edition

Mendenhall

ISBN 10: 0131877062 / ISBN 13: 9780131877061

Editore: Pearson, USA, 2007

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Text appears to be clean. Cover has some wear and corner bumps. Spine is in very good condition. Quantity Available: 1. Shipped Weight: Under 1 kilo. Category: Education; ISBN: 0131877062. ISBN/EAN: 9780131877061. Pictures of this item not already displayed here available upon request. Inventory No: 1561046220.

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Dati bibliografici

• Titolo: Statistics For Engineering and The Science 5th Edition
• Editore: Pearson, USA
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 0131877062
• ISBN 13: 9780131877061
• Rilegatura: Hardcover
• Edizione: Fifth Edition.
• Condizione: Very Good
• Cataloghi dei venditori:
  • Education

Descrizione articolo

Riassunto

This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences.  Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results.  Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.

Recensione

"A salient feature of this book is the clarity with which many statistical concepts have been presented.  A very nice blend of theory and applications.  It contains a wealth of illustrative examples and problem sets.  All the important concepts havae been highlighted; real-life data has been extensively used throughout the book.  Students will find it very appealing and u seful on their way to learning the basic statistical concepts and tools."  -  Dharam V. Chopra, Wichita State University "I like the problems in M&S-4 because they are all based on engineering applications of probability and statistics.  I especially like the problems at the end of chapter because students have to think more to solve them.  I favor problems that require calculations because engineers are problem solvers". - Charles H. Reilly, University of Central Florida "I think this text is one of the best I have seen when it comes down to real data sets.  The authors successfully included small and large real data sets from various real world problems in engineering, mathematical sciences, and natural sciences." - Dr. Edward J. Danial, Morgan State University