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Applied statistics :improving business processes. / Bruce L. Bowerman, Richard T. O'Connell.

By: Contributor(s): Material type: TextSeries: The Irwin series in statisticsPublication details: Chicago : Irwin, c1997.Description: xviii, 1273 p. : ill. ; 29 cmISBN:
  • 025619386X
Subject(s): LOC classification:
  • HF1017.B654 
Contents:
Contents: An Introduction to business statistics -- Descriptive statistics -- Probability and random variables -- Probability distributions -- Sampling distributions -- Confidence intervals -- Hypothesis testing -- Statistical inferences based on two samples -- Introduction to quality improvement using control charts -- Sample linear regression analysis -- Multiple regression -- Model building and model diagnostics -- Time series forecasting -- Experimental design and analysis of variance -- Chi-square tests -- Statistical tables -- Using matrix algebra to perform regression calculations -- Answers to most odd-numbered exercises.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HF1017.B654 (Browse shelf(Opens below)) 1 Available 2038/12
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HF1017.B6541 (Browse shelf(Opens below)) 2 Available 2039/12

Includes bibliographical references and index.

Contents: An Introduction to business statistics -- Descriptive statistics -- Probability and random variables -- Probability distributions -- Sampling distributions -- Confidence intervals -- Hypothesis testing -- Statistical inferences based on two samples -- Introduction to quality improvement using control charts -- Sample linear regression analysis -- Multiple regression -- Model building and model diagnostics -- Time series forecasting -- Experimental design and analysis of variance -- Chi-square tests -- Statistical tables -- Using matrix algebra to perform regression calculations -- Answers to most odd-numbered exercises.

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