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Applied Statistics for Engineers and Scientists / Jay Devore, Nicholas Farnum, Jimmy Doi.

By: Contributor(s): Material type: TextPublication details: Stamford : Dengage Learning, c2014.Edition: 3rd edDescription: xvi, 637 p. : ill. (some col.) ; 25 cmISBN:
  • 9781133111368
  • 113311136X
Subject(s): DDC classification:
  • 519.5 23 DEV
Online resources:
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.
Holdings
Item type Current library Call number Status Barcode
Short Loan Books Hamu Mukasa Library - Law and Science section; Level 3 Closed Access l Short Loan; Level 1 519.5 DEV (Browse shelf(Opens below)) In transit from Hamu Mukasa Library - Law and Science section; Level 3 to Hamu Mukasa Library since 04.03.2020 145439
Short Loan Books Hamu Mukasa Library - Law and Science section; Level 3 Closed Access l Short Loan; Level 1 519.5 DEV (Browse shelf(Opens below)) In transit from Hamu Mukasa Library - Law and Science section; Level 3 to Hamu Mukasa Library since 07.01.2021 145440
Short Loan Books Hamu Mukasa Library Closed Access l Short Loan; Level 1 519.5 DEV (Browse shelf(Opens below)) Available 145441
Short Loan Books Hamu Mukasa Library - Law and Science section; Level 3 Closed Access l Short Loan; Level 1 519.5 DEV (Browse shelf(Opens below)) In transit from Hamu Mukasa Library - Law and Science section; Level 3 to Hamu Mukasa Library since 14.06.2024 145442
Short Loan Books Hamu Mukasa Library - Law and Science section; Level 3 Closed Access l Short Loan; Level 1 519.5 DEV (Browse shelf(Opens below)) In transit from Hamu Mukasa Library - Law and Science section; Level 3 to Hamu Mukasa Library since 12.04.2021 145443

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.

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