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Probability & statistics for engineers & scientists / Ronald E. Walpole [and others].

By: Contributor(s): Publisher: Upper Saddle River, NJ : Pearson Prentice Hall, ò007Copyright date: ©2007Edition: Eighth editionDescription: xxiii, 816 pages : illustrations (some color) ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780132047678
  • 0132047675
Other title:
  • Probability and statistics for engineers and scientists
Subject(s):
Contents:
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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Holdings
Item type Current library Home library Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN TUN SERI LANANG PERPUSTAKAAN TUN SERI LANANG KOLEKSI AM-P. TUN SERI LANANG (ARAS 5) TA340.W35 2007 (Browse shelf(Opens below)) 1 Available 00002143884

Includes bibliographical references (pages 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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