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Applied statistics for engineers and scientists / Jay Devore, California Polytechnic State University, San Luis Obispo; Nicholas Farnum, California State University, Fullerton; Jimmy Doi, California Polytechnic State Unviersity, San Luis Obispo.

By: Contributor(s): Material type: TextTextPublisher: Stamford, CT : Cengage Learning, [2014]Edition: Third editionDescription: xvi, 637 pages : illustrations (some color) ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781133111368
Subject(s): LOC classification:
  • QA 276 .D498 2014
Contents:
Data and distributions -- Numerical summary measures -- Bivariate and multivariate data and distributions -- Obtaining data -- Probability and sampling distributions -- Quality and reliability -- Estimation and statistical intervals -- Testing statistical hypotheses -- The analysis of variance -- Experimental design -- Inferential methods in regression and correlation.
Summary: This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS emphasizes application of methods to real problems, with real examples throughout. Available with InfoTrac Student Collections http://gocengage.com/infotrac.
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Item type Current library Collection Call number Status Date due Barcode
Graduate Studies Graduate Studies DLSU-D GRADUATE STUDIES Graduate Studies Graduate Studies QA 276 .D498 2014 (Browse shelf(Opens below)) Available 3AEA2015005803
Browsing DLSU-D GRADUATE STUDIES shelves, Shelving location: Graduate Studies, Collection: Graduate Studies Close shelf browser (Hides shelf browser)
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QA 276 .B472 2015 v. 1 Mathematical statistics : QA 276 .B472 2016 v. 2 Mathematical statistics : QA 276 .B736 2017 Understandable statistics : QA 276 .D498 2014 Applied statistics for engineers and scientists / QA 276 .L645 1996 Parametric statistical inference. QA 276 .Ot8 2016 An introduction to statistical methods & data analysis / QA 276.12 .N229 2018 Essential statistics /

Includes bibliographical references and index.

Data and distributions -- Numerical summary measures -- Bivariate and multivariate data and distributions -- Obtaining data -- Probability and sampling distributions -- Quality and reliability -- Estimation and statistical intervals -- Testing statistical hypotheses -- The analysis of variance -- Experimental design -- Inferential methods in regression and correlation.

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS emphasizes application of methods to real problems, with real examples throughout. Available with InfoTrac Student Collections http://gocengage.com/infotrac.

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