Probability and Statistics for Engineering and the SciencesAuthor:
11 Customer Product Reviews
Pub Date: 2011
Publisher: Cengage Learning
Jay L. Devore is the author of Probability and Statistics for Engineering and the Sciences, published 2011 under ISBN 9780538733526 and 0538733527. Six hundred twenty nine Probability and Statistics for Engineering and the Sciences textbooks are available for sale on ValoreBooks.com, thirty eight used from the cheapest price of $40.43, or buy new starting at $220.25. [read more]
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- 11 REVIEWS
- 5 star(3)
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- 3 star(2)
- 2 star(1)
- 1 star(1)
I would cut out all the elaborate explanations and get to the main points quickly. This author loves explaining every last detail when most of that explanation is irrelevant to the problem sets.read more
I learned the role that calculus plays in statistics. I learned this because, for my degree, I need to understand theory as well as application.
Probability & statistics. It did very well and I have taken a previous statistics class. I would highly recommend this book.read more
How it has (7.5) for example next to some homework examples. The number in parentheses is suppose to represent a theorem to reference but it's confusing because you think it's an example number. Label examples and theorems different, or don't have the hint.
This book was very helpful, the structure of the text book, its content and explanation. What was also interesting was the example after with detailed solutions.read more
I believe every content of the book was helpful, because there was a kind of continuity and we could see that each chapter was kind of linked together.
The book provides step by step approach to gain advanced understanding on statistics. It can be used by both elementary level and someone who already has good understanding of statistics. The problem sets are very engaging and it helped me in developing some great concepts which can be utilized at workplace.read more
All the concepts of statistics. I had always struggled with data science, but this book provide good insight which concepts should be used for which type of data sets
It defined variables very well and the highlighted boxes were easy to follow.read more
i have not read any other books that were on the same subject.
This book could definitely use more examples. Although the end-of-chapter exercises were numerous and challenging, there wasn't much momentum leading up to them in the examples provided in the body of the chapters. More examples would also help elaborate the topics further.read more
Statistics and probability. This book did a very effective job of covering the subject. .
That you want to take a basic stat course before you attempt a 3000 level, calc based stat course.read more
Very complex methods for analyzing a set of GIVENS. What is the probability that 'this' happens given 'meh' and 'meh'. Lots of logic diagram use is recommended while solving.
More detailed examples and pictures; hard to follow along with.read more
Add pictures and examples; Add odd answers to questions to back of the book
he course is intended to provide: (a) an introduction to the language, logic, and math of probability and statistics as used in engineering and the sciences; and (b) an opportunity to learn how probabilistic analyses and statistical reasoning and testing can be applied to a wide range of problems of importance in the sciences, industry, and society.read more
Introduction, Background, Descriptive Statistics, Sample Spaces, Events, Basic Probability Concepts ,Counting Principles: Multiplication Rule, Permutations, Combinations, Mathematics of Probability
Sometimes I forgot the formulas for certain distributions and looked them up easily in the book.read more
ENGRD 2700- Basic Engineering Probability and Statistics
This book does a good job of teaching you the material without making it overly complicated. And this book is very cheap, when being an international version. Affordable and well organized. Good buy.read more
Statistical Methods. Probability and statistics. Confidence intervals, prediction intervals, tolerance intervals, and central limit theorem. Lots of good examples and practice problems to help you get familiar with the topics concerned.
Pub Date: 2011
Publisher: Cengage Learning