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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Editorial Reviews
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"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
From the Back Cover
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. 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.
--This text refers to an out of print or unavailable edition of this title.
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Most Helpful Customer Reviews
3 of 3 people found the following review helpful:
4.0 out of 5 stars
Simple Statistics,
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This review is from: Statistics for Engineering and the Sciences (4th Edition) (Hardcover)
If you are looking for a statistics book that explains things in a simple and elementary way, this book is for you! Additionally, the problems are straightforward. However, it requires that you know calculus I for some of the problems. 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 of 6 people found the following review helpful:
5.0 out of 5 stars
Good for intuition,
By A Customer
This review is from: Statistics for Engineering and the Sciences (4th Edition) (Hardcover)
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.
2 of 2 people found the following review helpful:
5.0 out of 5 stars
Excellent book,
This review is from: Statistics for Engineering and the Sciences (4th Edition) (Hardcover)
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!
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