| | |  | Software Engineering | Home » » » Applied Statistics for Engineers and Scientists: Using Microsoft Excel & Minitab | | | | | | | Product Promotions: | | | | | Description: | | This applied book for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software complete this treatment of statistics. Chapter topics include describing and summarizing data; probability and discrete probability distributions; continuous probability distributions and sampling distributions; process control charts; estimation procedures; hypothesis testing; the design of experiments; and simple linear and multiple regression models. For individuals interested in learning statistics—without a high level of mathematical sophistication. | | | Product Details: | | | Author:
| David M. Levine | | Paperback:
| 714 pages | | Publisher:
| Prentice Hall | | Publication Date:
| September 18, 2000 | | Language:
| English | | ISBN:
| 0134888014 | | Product Length:
| 10.5 inches | | Product Width:
| 8.16 inches | | Product Height:
| 1.26 inches | | Product Weight:
| 3.42 pounds | | Package Length:
| 10.08 inches | | Package Width:
| 8.27 inches | | Package Height:
| 1.34 inches | | Package Weight:
| 3.53 pounds | | Average Customer Rating:
|  based on 8 reviews |
| | | | Customer Reviews: | |
Average Customer Review:
 ( 8 customer reviews )
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Most Helpful Customer Reviews
16 of 17 found the following review helpful:
Good for first editionMay 10, 2002
I used this textbook for a course in statistics. I must say that it was better then the first time that I had taken statistics 5 years ago. The book uses one or two data sets per chapter that helps you focus your thoughts while learning the different techniques. A nice feature about this book that wasnt available 5 years ago is the Excel and Minitab examples which saves a lot of time that is ordinarly spent on copious number crunching. I would have given the book 5 stars, however I found some obvious errors in the book that should have been edited out before the release. Good starter book for sats.
4 of 4 found the following review helpful:
 Very Practical BookNov 29, 2003
I have found this book to be very useful with practical examples and case studies. I felt that as an engineer I needed to know how to use software(to save time)along with the formulas that work in it.This book satisfies that, using a very common software EXCEL..what could be better than this.
I strongly recommend this book for a high level course in statistics.
2 of 2 found the following review helpful:
You can actually understand it!Mar 18, 2009
By W. Bond
This textbook is a necessary resource for a intro to statistics class. It is worded well and is not convoluted. The examples are helpful and equations used are explained thoroughly. The companion software is a little outdated but a free update for excel is available online. The companion software is amazing in itself. A great buy, a definitely cheaper than any university book store!
1 of 1 found the following review helpful:
CD LevelSep 16, 2011
By Ray Wicks
The book is really great. I have an old copy with the CD. Just tried to use the CD and found out that Excel 2003 is not supported by the version on the CD (Update not available). I notice that the description of the book does NOT contain the Excel version supported by the CD. If you get an old text/CD, the CD may be useless.
PositiveOct 19, 2011
By Paolo Giai Miniet
This book can for sure give a positive contribution to beginners in Quality and, as the title correctly describe, for Engineers and scientists who needs to get a quick but deep approach to the matter.
Peculiarly effectives are the chapters 1 (Introduction to statistics and Quality improvement) and 2 (Tables and Charts) and 3 (Describing and summarizing datas). Personally I think that one must give a good effort in presenting the data for gaining the immediate understanding to the people the datas are addressed.
Chapters 4 (Probability and discrete probability distribution) and 5 (Continuous probability distributions and sampling distributions) are representing a good introduction to the Probability study (even if it has been tailored for goal of the book).
Chapters 6 (Statistical process control charts I: Bassic Concepts and attributes charts) and chapter 7 (Statistical process control charts II: Variables control charts) are giving a good introduction to SPC, l Chapter 8 (Estimation Procedures) is a really well written key chapter for chapter 9 (Introductin to Hypothesis Testing) in which a good set of testing are explained.
Chapter 10 (The Design of Experiments: One factor and Randomized block Experiments) and Chapter 11 (The Design of experiments: Factorial Design) are a superficial (but well written and easy to read) introduction of DOEs. Especially in chapter 10 ANOVA are, to me, well described.
The book ends with Chapter 12 (Simple linear regression) and Chapter 13 (Multiple Regression) in which the subjects are well explained and described.
Finally, this book has a didactic touch, you can find in it a lot of excercises with which challenge your understanding and it is pleasant to be read. Personally I rate it with a well deserved 4 stars.
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