Introductory Statistics for Engineering Experimentation 1st Edition

by Peter R. Nelson (Author), Karen A.F. Copeland (Author), Marie Coffin (Author)

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ISBN-13: 978-0125154239

ISBN-10: 0125154232

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The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "Students must demonstrate a knowledge of the application of statistics to engineering problems." Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to the most useful statistical methods, this book was created to satisfy those needs.

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The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "Students must demonstrate a knowledge of the application of statistics to engineering problems." Since most engineering curricula are quite full with requirements in their own discipline, they generally do not have time for a traditional two semesters of probability and statistics. Attempts to condense that material into a single semester often results in so much time being spent on probability that the statistics useful for designing and analyzing engineering/scientific experiments is never covered. In developing a one-semester course whose purpose was to introduce engineering/scientific students to some useful statistical methods, this text was created to satisfy these needs.

Book Description

Publisher ‏ : ‎ Academic Press; 1st edition (August 28, 2003)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 528 pages
ISBN-10 ‏ : ‎ 0125154232
ISBN-13 ‏ : ‎ 978-0125154239
Item Weight ‏ : ‎ 1.8 pounds
Dimensions ‏ : ‎ 6 x 1.13 x 9 inches

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Peter R. Nelson

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David Reynolds

Great book on introductory stats and more

Reviewed in the United States on December 14, 2013

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Well folks, it's been a few weeks since we reviewed anythang. We'v e been busy aroun th homestead but now it's time ta start again with this great book we bought th other day. Now when we first ordered it our expectations weren't that high. We figured well' it'll be good for th fifteen year old ta see some more statistics problems. Folks were we surprised. We expected some real simple stat problems maybe some linyer regression. We'd probably get some data-sets we could use. But when we got it we found out it's that an a lot more. Folks, there's a whole R package o datasets for this here book. Last I counted they wuz 81 data-sets available on R for download. Now if ya don't know what R is maybe ya shouldn't even be readin this review. It'll prob'ly suit ya better to go study some multicultural authors in American Lit or maybe jest set there an watch dancin' with th stars. Yeah that's it. Leave th rest of us alone. But if yer into statistics, engineering or usin R as yer go-to statistics package get this book. And there's even more. The slant in this book is more toward graphin' with th lattice package, which I'll admit, I'm not up on. But Great God folks! That's why I bought R-Graphics by Murrell a couple a years ago. (i'll have ta write up a review a that one soon.) Now, I had never studied much from th lattice package, usin Murrell for th traditional graphing but now i'm gettin inta it an just let me tell yew! There's some purty graphs in there. I jest needed Introductory Statistics for Engineering Experimentation ta push me in that direction. Now ya can use traditional graphs for th data-sets in this book. But why would ya want to? Are ya some kind a effin' hipster? Or are ya jest one more fat lazy Murkan that don't want ta learn nothin else. Ain't ya ashamed o yer fat self. Well, anyway th fifteen year old keeps tryin ta get me ta let him use it but i'm havin too much fun with these graphs. Soon's I get comfortable with that I'll let im have it. In th meantime I'm also goin ta explore what else they have in this book. There's datasets in time-sequence so ya can do that kind a stuff. There's encouragement ta do runs charts and other stuff in quality control but not much instruction there. That's okay, there's plenty more. In addition ta th usual info on summary statistics, there's a section on models for th random error. (Ha, Ha, I know two random errors, Bush and Obama, but I digress). There's linear regression and ANOVA. Also they use ANOM for some a these analyses. Now that's interestin folks. Ya don't hear much o that one. But it's tailor-made for quick and dirty quality control. An it ain't really quick and dirty, folks, it works. In all there's more here than I can talk about. I don't want ta hear no whiners that buy this book talk about how it's jest a introductory text and there jest ain't all that much there. No it ain't in th same category as Neter's Applied Linear Statistical Models or even Montgomery's Design and Analysis o Experiments. But folks, quit whinin, it don't claim ta be. Th name is; repeat after me; Introductory Statistics for Engineering Experimentation. It's for engineers that can't do much math. We can do a lot o math and we're still gettin some good stuff out o it. If there's stuff ya don't understand, hie yerself ta th internet and start learnin'; there ain't no excuse fer ya to be ignernt! Buy this here book!

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Seong Bpang

Great book worth of buying for stat class

Reviewed in the United States on October 4, 2009

I like the quality of the book so far, better than what is being sold in university book store. low cost, better quality, thats all I can say

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Introductory Statistics for Engineering Experimentation 1st Edition

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Introductory Statistics for Engineering Experimentation 1st Edition

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Peter R. Nelson

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