Title: Probability and Statistics for Engineering and the Sciences Pdf
Author: Jay L. Devore
Published Date: 2015-01-01
Page: 768
"This text has a great number of examples and exercises that are of high quality. Students enjoy doing the real world problems. I believe this is the text's greatest strength.""The strengths are the material coverage (i.e. topics covered) and the engineering focus. I would describe this text as a reliable classic." Jay Devore is Professor Emeritus of Statistics at California Polytechnic State University. He earned his undergraduate degree in Engineering Science from the University of California at Berkeley, spent a year at the University of Sheffield in England, and finished his Ph.D. in statistics at Stanford University. Jay previously taught at the University of Florida and at Oberlin College and has had visiting appointments at Stanford, Harvard, the University of Washington, New York University, and Columbia University. From 1998 to 2006, he served as Chair of the Cal Poly Statistics Department. In addition to this book, Jay has written several other widely used statistics texts for engineers and scientists and a book in applied mathematical statistics. He recently coauthored a text in probability and stochastic processes. He is the recipient of a distinguished teaching award from Cal Poly, is a Fellow of the American Statistical Association, and has served several terms as an Associate Editor of the "Journal of the American Statistical Association." In his spare time, he enjoys reading, cooking and eating good food, tennis, and travel to faraway places. He is especially proud of his wife, Carol, a retired elementary school teacher, his daughter Allison, who has held several high-level positions in nonprofit organizations in Boston and New York City, and his daughter Teresa, a high school teacher in Brooklyn.
cluttered and at times seemed like a scientific review paper To be fair, this might suit many other students but for me it was chaotic. There are many examples but they are hard to keep up with since they are lengthy. It has, what I believe, a lot of information that could have been left out. For example, there are many links to studies within the text. It's hard for me to explain things so I'll just end this with it was HARD TO READ.I needed this for a class. I ended up viewing a lot of Khan Academy videos and looking for another textbook online to read because I wasn't processing this one.eBook can only be read on Android/iOS/Fire devices; examples are dry I purchased the eBook version of this to read with Kindle for a class. Unfortunately, I can only view this book on my Android phone because "Kindle Cloud Reader can't open this book, but [I] can read it with [the] free Kindle app" (which is conveniently not available for Windows).More than the consumption aspect of the book, the examples contained within are dry, weirdly specific, unrealistic, and unhelpful toward actually understanding and applying the presented content. This is especially a negative when you realize that this text is supposed to be specifically for the practical application of probability and statistics in engineering and scientific fields.P(Understanding the Formulas) = .75 This textbook was for one of my first core major classes. Since I figured it would make a great reference book and our class would be using it quite often, I decided to bite the bullet and purchase it new. To make it easier, I'll break it up into the good and the bad:The Good:-If you're an engineer, almost all of the homework problems in the chapters have an engineering application focus. Since I'm a stats major, I really have no clue what application some of the problems have to real-life problems, but it may help an engineer better understand the context of the problem. As well, in typical math-book stride, the odd answers are in the back of the book.-Major formulas are typically prominently highlighted with a box and bold lettering, so they're easier to find in the chapters.-The most important tables are in the very front, so you don't have to go looking for them through the appendix.-The homework problems are divided by section, and the numbers are sequential by chapter rather than section. Therefore, you can't have a homework problem #2 in section 4.1 and 4.3The Bad:-Many of the questions are long and some are poorly worded. Look closely at what it wants you to do, or you may end up redoing the problem.-The formulas are much harder than they need to be. Many are calculus-based when a simple form works in the same way. The book is also extremely wordy and labor-intensive in derivations and examples. Because of this, it makes the work seem much harder than it really is, especially since your TI-84 can do much of this work for you.-It is an expensive book, new or used. The book itself is smaller than a typical textbook, and the editions are updated frequently. While the content typically doesn't change during an edition update, the homework problems at the end of each section do; if your professor gives you graded homework from the book, you're stuck with this thing.Overall: The book does an OK job at educating at a higher level than a basic stats book. In its class, it would be considered on the higher-rated end, but don't expect this book to be the best thing you've ever read (or skimmed).
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