This bestseller continues to provide engineering students with a comprehensive introduction to probability and statistics through its use of concepts, models, methodology, and lively and realistic examples and applications.
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Most Helpful Customer Reviews
6 of 6 people found the following review helpful:
1.0 out of 5 stars
Not for those trying to learn stat/prob while taking other classes,
By
This review is from: Probability and Statistics for Engineering and the Sciences (with Student Suite Online) (Hardcover)
Too wordy. The book is written as though we all have the time to read everything cover to cover. For those juggling 12+ hours of senior year engineering classes and labs along with work, this obviously is not the best text for seriously learning probability and statistics quickly and effectively.
As a math tutor, it is books like this that make me cringe, as many students have trouble trying to refer to lengthy text when they try to resolve issues on their own. I see way too many students who end up resorting to tutors due to books written like this--not a good sign at all. Devore would help all of us if he would put more things in clear point-form, have more summarized text, and save anecdotal examples for the example section. If you are assigned this textbook for your class, I highly recommend purchasing the student solution manual--that book is a lifesaver and will help you check your homework. I also recommend any supplemental books such as those by REA and Schaum's to help you better understand the material. Having a statistics tutor would also help if your teacher is not too hot at explaining stuff because you surely can't count on this book for much assistance! Good luck...
5 of 5 people found the following review helpful:
1.0 out of 5 stars
Probability and Statistics for Engineering and the Sciences (with Student Suite Online),
By Elvis Jones (CT., USA) - See all my reviews
This review is from: Probability and Statistics for Engineering and the Sciences (with Student Suite Online) (Hardcover)
This is, by far, the worst textbook that I have ever had.
It is written for the author's colleagues, not for students. If there is a clear and concise way of explaining a concept, DeVore will do the opposite. Examples in the text of each chapter are re-workings of poorly explained definitions. The exercises at the end of each chapter are completely disconnected from the examples in each chapter. YOU WILL NOT LEARN FROM THIS BOOK. It is a reference book, good for those who are already very familiar with probability and statistics, not a textbook. Also, I'm suspicious of professors who write new editions every four or five years. Why does the wheel have to be re-invented so often?$?$?
3 of 4 people found the following review helpful:
1.0 out of 5 stars
difficult to understand = bad textbook,
By
This review is from: Probability and Statistics for Engineering and the Sciences (with Student Suite Online) (Hardcover)
The author suck in explaining, everything in the book, from deffinition to example are difficult to understand. The words he used, the sentense structure don't make sense most of the time, 98%. Too bad my professor chose this textbook, I want to throw it away many time when reading it because things just don't make sense. An example, a section about stem-and-leaf display, I don't understand it at all, no matter how many time I read that section, I finally got it after reading a quick tutorial on the web for just a few minutes. I spent almost two hour trying to understand it from this book. Cra..zy.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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factorial experiments, corrected total, true average degree, true average strength, area liberation rate, test the appropriate hypotheses, comparative boxplot, linear probabilistic model, estimated expected cell counts, true average lifetime, true average yield, simultaneous confidence level, true average difference, joint confidence level, true average responses, useful linear relationship, joint pmf, test the relevant hypotheses, lower prediction bound, marginal pmf, trimming percentage, legitimate pdf, true average time, quadratic predictor, normal population distribution Key Phrases - Capitalized Phrases (CAPs): (learn more)
All Rights Reserved, Thomson Learning, Appendix Table, New York, Sum of Squares Mean Square, Central Limit Theorem, Analysis of Variance, Predictor Coef Stdev, Single Sample, United States, Quality Technology, Use Tukey, Source of Variation, Structural Engr, Mean Median, Squares Square, Descriptive Statistics, Textile Research, Multiple Regression Analysis, Forest Products, Residual Error, Parameter Estimate Estimated, Inferences Based, Expected Values, Industrial Quality Control Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
factorial experiments, corrected total, true average degree, true average strength, area liberation rate, test the appropriate hypotheses, comparative boxplot, linear probabilistic model, estimated expected cell counts, true average lifetime, true average yield, simultaneous confidence level, true average difference, joint confidence level, true average responses, useful linear relationship, joint pmf, test the relevant hypotheses, lower prediction bound, marginal pmf, trimming percentage, legitimate pdf, true average time, quadratic predictor, normal population distribution Key Phrases - Capitalized Phrases (CAPs): (learn more)
All Rights Reserved, Thomson Learning, Appendix Table, New York, Sum of Squares Mean Square, Central Limit Theorem, Analysis of Variance, Predictor Coef Stdev, Single Sample, United States, Quality Technology, Use Tukey, Source of Variation, Structural Engr, Mean Median, Squares Square, Descriptive Statistics, Textile Research, Multiple Regression Analysis, Forest Products, Residual Error, Parameter Estimate Estimated, Inferences Based, Expected Values, Industrial Quality Control Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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