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

    Contributor(s): Walpole, Ronald EMaterial type: TextTextPublisher: Upper Saddle River, NJ : Pearson Prentice Hall, c2007Edition: 8th edDescription: xxiii, 816 p. : ill. (some col.) ; 25 cmISBN: 9780131877115 (hbk.); 0131877119 (hbk.); 9780132047678 (pbk.); 0132047675 (pbk.)Other title: Probability and statistics for engineers and scientistsSubject(s): Engineering -- Statistical methods | ProbabilitiesDDC classification: 519.02/462 LOC classification: TA340 | .P738 2007
    Contents:
    Introduction 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 distributions 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) -- 2[superscript k] factorial experiments and fractions
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    Item type Current library Call number Copy number Status Notes Date due Barcode
    Books Books Main Library
    		TA340 .P738 2007 (Browse shelf (Opens below)) 1 Available STACKS 51952000149354

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

    1. Introduction to statistics and data analysis -- 2. Probability -- 3. Random variables and probability distributions -- 4. Mathematical expectation -- 5. Some discrete probability distributions -- 6. Some continuous probability distributions -- 7. Functions of random variables (optional) -- 8. Fundamental sampling distributions and data descriptions -- 9. One- and two-sample estimation problems -- 10. One- and two-sample tests of hypotheses -- 11. Simple linear regression and correlation -- 12. Multiple linear regression and certain nonlinear regression models -- 13. One-factor experiments : general -- 14. Factorial experiments (two or more factors) -- 15. 2[superscript k] factorial experiments and fractions

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