Statistics for Engineering and the Sciences (5th Edition) |
| Authors: William Mendenhall, Terry Sincich
Publisher: Prentice Hall
Category: Book
List Price: $137.33
Buy New: $45.48
You Save: $91.85 (67%)
New (30) Used (26) from $39.00
Avg. Customer Rating:  3 reviews
Sales Rank: 263012
Media: Hardcover
Edition: 5
Number Of Items: 1
Pages: 1072
Shipping Weight (lbs): 4.7
Dimensions (in): 10 x 8.4 x 1.6
ISBN: 0131877062
Dewey Decimal Number: 519
EAN: 9780131877061
ASIN: 0131877062
Publication Date: July 23, 2006
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Condition: Brand New Hardcover Original US 5th Edition Free tracking Ref.239
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Product Description
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.
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Customer Reviews:
 Excellent book November 20, 2005
Good book to learn from if you have the required background. As both a mathematician and a meteorologist, I plan on using this book a lot!
Good for intuition May 14, 2002
3 out of 4 found this review helpful
I think this book is very good for grasping the concepts and intuition behind the mathematical formalisms. Perhaps it should be used with another more theoretical book (Meyer, for instance). It is useful not only for engineering students.
 Good book without the unnecessary confusion added June 1, 1997
6 out of 13 found this review helpful
The author adds unnecessary confusion by ignoring variable naming conventions. In some places he uses "y" as the independent variable name, while in other places, he uses "x". I have never seen f(y) on the vertical axes but yet the author uses P(y) on the vertical axes. It seems the only equation he got correct, according to convention, was the historical y=mx+b. This book should be dreastically updated to conform to standard variable naming conventions. After eliminating the variable naming confusion, I think this book will be an excellent book to read and learn
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