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.
NO WEBASSIGN ACCESS CODE INCUDED!! I had no idea this ebook did not come with a WebAssign access code. Now I can't return it and I have to spend more money on the access code separately. Very disappointed that Amazon did not provide this as a disclaimer.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.
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