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Probability & statistics for engineers & scientists / Ronald E. Walpole ... [et al.].

Contributor(s): Material type: TextPublication details: Upper Saddle River, NJ : Pearson Prentice Hall, 2007.Edition: 8th edDescription: xxiii, 816 p. : ill. (some col.) ; 25 cmISBN:
  • 9780131877115 (hbk.)
  • 0131877119 (hbk.)
Other title:
  • Probability and statistics for engineers and scientists
Subject(s): DDC classification:
  • 519.02/462 22
LOC classification:
  • TA340.P73
Contents:
Contents: Introductions to statistics and data analysis -- Probability -- Random variables and probability distributions -- Mathematical expectation -- Some discrete probability distributions -- Some continuous probability distributions -- Functions of random variables (optional) -- Fundamental sampling distribution and data descriptions -- One- and two-sample estimation problems -- One- and two-sample tests of hypotheses -- Simple linear regression and correlation -- Multiple linear regression and certain nonlinear regression models -- One-factor experiments; general -- Factorial experiments ( two or more factors) 2k Factorial experiments and fractions -- Nonparametric statistics -- Statistical quality control -- Bayesian statistics (optional)
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Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY TA340.P73(8e) (Browse shelf(Opens below)) Available K/103/103/19

Includes bibliographical references (p. [737]-740) and index.

Contents: Introductions to statistics and data analysis -- Probability -- Random variables and probability distributions -- Mathematical expectation -- Some discrete probability distributions -- Some continuous probability distributions -- Functions of random variables (optional) -- Fundamental sampling distribution and data descriptions -- One- and two-sample estimation problems -- One- and two-sample tests of hypotheses -- Simple linear regression and correlation -- Multiple linear regression and certain nonlinear regression models -- One-factor experiments; general -- Factorial experiments ( two or more factors) 2k Factorial experiments and fractions -- Nonparametric statistics -- Statistical quality control -- Bayesian statistics (optional)

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