Gupta / Guttman | Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists | E-Book | www.sack.de
E-Book

E-Book, Englisch, 376 Seiten, E-Book

Gupta / Guttman Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists


1. Auflage 2013
ISBN: 978-1-118-78976-6
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 376 Seiten, E-Book

ISBN: 978-1-118-78976-6
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



A solutions manual to accompany Statistics andProbability with Applications for Engineersand Scientists
Unique among books of this kind, Statistics and Probabilitywith Applications for Engineers and Scientists coversdescriptive statistics first, then goes on to discuss thefundamentals of probability theory. Along with case studies,examples, and real-world data sets, the book incorporates clearinstructions on how to use the statistical packages Minitab®and Microsoft® Office Excel® to analyze various datasets. The book also features:
* Detailed discussions on sampling distributions, statisticalestimation of population parameters, hypothesis testing,reliability theory, statistical quality control including Phase Iand Phase II control charts, and process capability indices
* A clear presentation of nonparametric methods and simple andmultiple linear regression methods, as well as a brief discussionon logistic regression method
* Comprehensive guidance on the design of experiments, includingrandomized block designs, one- and two-way layout designs, Latinsquare designs, random effects and mixed effects models, factorialand fractional factorial designs, and response surfacemethodology
* A companion website containing data sets for Minitab andMicrosoft Office Excel, as well as JMP ® routines andresults
Assuming no background in probability andstatistics, Statistics and Probability with Applicationsfor Engineers and Scientists features a unique, yettried-and-true, approach that is ideal for all undergraduatestudents as well as statistical practitioners who analyze andillustrate real-world data in engineering and the naturalsciences.

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