Statistics for Engineering and the Sciences

Mendenhall, William, Sincich, Terry L.

ISBN 10: 0023805811 / ISBN 13: 9780023805813

Published by Prentice Hall PTR, 1995

Used book that is in clean, average condition without any missing pages. Seller Inventory # 203545-6

Synopsis:

This book illustrates basic statistical concepts with extensive applications in engineering and scientific contexts. The book includes optional theoretical exercises, allowing readers who choose to emphasize theory to do so with requiring additional materials. The fourth edition contains SAS and MINITAB computer printout results for all analyses performed?plus new exercises based on magazine and journal articles and news reports. KEY TOPICS: A section on "Detecting Normal Distributions" (Chapter 5) gives readers insights on when it is reasonable to assume that underlying data is normally distributed. There is a comprehensive example on model building (Chapter 13) and emphasis on the regression approach to a Nova (also presents the traditional approach). There are two sections discussing principles of experimental design, i.e., noise-reducing and volume-increasing design, a section on "Total Quality Management" and coverage of statistical computing. There are optional, calculus-based theoretical exercises, and real data sets, extracted from scientific studies, are provided in an appendix. Numerical answers to all applied exercises are included in an appendix?giving readers immediate feedback on their work.

Review: "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

 

 

Bibliographic Details

Title: Statistics for Engineering and the Sciences
Publisher: Prentice Hall PTR
Publication Date: 1995
Binding: Hardcover
Condition: Good
Edition: 4th.