Statistics for Engineering and the Sciences - Hardcover

Mendenhall, William; Sincich, Terry

 
9780131877061: Statistics for Engineering and the Sciences
Hardcover
ISBN 10: 0131877062 ISBN 13: 9780131877061
Publisher: Pearson, 2006

Synopsis

For engineering statistics courses in departments of Statistics and Engineering.

 

This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitalby, once these studenrts 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.The text includes optional theoretical exercises allowing instructors who choose to emphasize theory to do so without requiring additional materials.

 

The assumed mathematical background is a two-semester sequence in calculus - that is, the course could be taught to students of average mathematical talent and with a basic understanding of the principles of differential and integral calculus.


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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

 

 

"About this title" may belong to another edition of this title.

Publisher
Pearson
Publication date
2006
Language
English
ISBN 10 
0131877062
ISBN 13 
9780131877061
Binding
Hardcover
Edition number
5
Number of pages
1072