Download Engineering Statistics Demystified, by Larry Stephens
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Engineering Statistics Demystified, by Larry Stephens
Download Engineering Statistics Demystified, by Larry Stephens
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Clueless? Feel Like a Dummy? Get Demystified!
This versatile reference offers solid coverage of the basics of traditional engineering statistics and also incorporates examples from the most popular statistical software programs, making it equally valuable to professionals.
- Sales Rank: #1756576 in Books
- Published on: 2007-01-03
- Released on: 2007-01-03
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.02" w x 7.30" l, 1.68 pounds
- Binding: Paperback
- 448 pages
From the Back Cover
It's safe to infer that YOU'LL MASTER ENGINEERING STATISTICS
Learn how to implement statistics in engineering applications -- even if you don't have formal training, unlimited time, or a genius IQ. Engineering Statistics Demystified offers an effective, enlightening, and entertaining way to learn this complex subject.
Written by statistics professor Larry J. Stephens, this book introduces you to several statistical software programs and encourages you to use these programs along with the book. You'll study probability distributions for discrete and continuous random variables as well as sampling distributions, and make statistical inferences concerning means, variances, and proportions. Packed with examples from the featured statistical programs and including end-of-chapter exercises and two final exams, this book will teach you the fundamentals of engineering statistics in no time at all.
This hands-on, self-teaching guide offers:
- An easy way to understand engineering statistics
- Explanations on how to use several statistical software programs, including EXCEL, MINITAB, SAS, SPSS, STATISTIX, and MAPLE
- Real-world examples
- Exercises at the end of each chapter to reinforce learning and pinpoint weaknesses
- Two final exams at the end of the book, along with their solutions
- A time-saving approach to performing better on an exam or at work
Simple enough for a beginner, but challenging enough for an advanced student, Engineering Statistics Demystified is your shortcut to mastering this challenging topic.
About the Author
Larry Stephens is a professor of mathematics at the University of Nebraska and has also worked for NASA. He is the author of McGraw-Hill's Advanced Statistics Demystified and Schaum's Outline of Beginning Statistics.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Very Good Book
By Avid Reader
It is a very good book. Remember, engineering statistics is different from an ordinary statistics book in that its goal is to show you how to apply the subject in practical ways (ie using Excel, Mapel, other software programs and in solving real world problems). To this end the book does a good job. I would have given it 5 stars but in my opinion there should've been more detailed photos of software inputs. The book describes inputs but it is always much clearer when you can see it. However, it is a very good book.
0 of 0 people found the following review helpful.
Two Stars
By Amazon Customer
The book should have more theory to link the practical aspects of stats
0 of 0 people found the following review helpful.
Excellent refresher book on the subject
By Su
As a working professional in technical field I have been looking for a book that will help me brush on the subject. Only other statistics book I have is a text book I used in college, but it's too heavy on math part of it, and thin on practical aspect of statistics. To me this book has a perfect balance between the two. Math in the book should not be too difficult to follow if you have taken college level calculus classes (if you're reading this review I presume you have). There are a plenty of examples and exercises you can tackle, and more importantly the answer sheets are provided in the back for those who are self-studying.
Now to the software called out in the book. For the most exercises Excel should be sufficient. However chapter 4 requires something little more, and the author decided on MAPLE. This is not necessarily a negative, but you're kind of forced into using a 30-day trial or buying a student edition. In my case, after some research I narrowed my choices to two; GNU Octave and Maxima, both of which are freely available in Linux (and possibly in Windows as well?), and finally settled on Maxima because of ease of use, and MAPLE examples given in the book translated well to Maxima.
I'd recommend the book to anyone who needs a refresh course on the subject, or to someone who wants to work through statistics problems.
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