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Statistics for Engineering and the Sciences (4th Edition)

Statistics for Engineering and the Sciences (4th Edition)Authors: William Mendenhall, Terry L. Sincich
Publisher: Prentice Hall

List Price: $127.60
Buy Used: $3.41
as of 11/22/2009 19:08 CST details
You Save: $124.19 (97%)



New (10) Used (30) from $3.41

Seller: Ivy_League_Books
Rating: 4.5 out of 5 stars 5 reviews
Sales Rank: 1044134

Media: Hardcover
Edition: 4
Pages: 1008
Number Of Items: 1
Shipping Weight (lbs): 4.8
Dimensions (in): 9.6 x 8.6 x 2.1

ISBN: 0023805811
Dewey Decimal Number: 519.5
EAN: 9780023805813
ASIN: 0023805811

Publication Date: January 13, 1995
Availability: Usually ships in 1-2 business days

Also Available In:

  • Hardcover - Statistics for Engineering and the Sciences
  • Paperback - Statistics for Engineering and the Sciences: AND Student Solutions Manual
  • Hardcover - Statistics for Engineering and the Sciences (5th Edition)

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Editorial Reviews:

Product Description
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.


Customer Reviews:
5 out of 5 stars :)   September 23, 2009
R. Green (Tennessee, USA)
Book is in perfect condition. The price was the lowest I found. Shipped in a quick manner. Very pleased.


4 out of 5 stars Simple Statistics   August 24, 2009
Maria Maliagros
If you are looking for a statistics book that explains things in a simple and elementary way, this book is for you! In addition the problems are straightforward. However, it requires that you know calculus I for some of the problems. There aren't many of these. It also has computer applications that you can practice. The only drawback is that the probability chapter is skimpy. You may want to supplement your knowledge of probability with another book, since statistics requires that you know probability first.


5 out of 5 stars Excellent book   November 20, 2005
David Moran
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!


5 out of 5 stars 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.


3 out of 5 stars Good book without the unnecessary confusion added   June 1, 1997
7 out of 15 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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