Probability & Statistics for Engineering and the Sciences – Jay L. Devore – 6th Edition


This comprehensive introduction to and will give you the solid grounding you need no matter what your specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics–you’ll also learn how to put the statistical methods to use. In addition, rather than focusing on rigorous development and potentially overwhelming derivations, and Statistics for Engineering and the Sciences emphasizes concepts, models, methodology, and that facilitate your understanding.


  • “Simulation Experiments” help students gain an understanding of sampling and the insight they provide, especially when a derivation is too complex to carry out.
  • Strong coverage, especially with ANOVA and regression, is supported by an abundance of computer output from SAS® and MINITAB® and coverage of computer methods. Inclusion of JavaTM Applets from McClelland’s Seeing Statistics, specifically designed for this calculus-based text, allows students to experience firsthand.
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  • 1.Overview And Descriptive Statistics.
    2. Probability.
    3. Discrete Random Variables And Probability.
    4. Continuous Random Variables And Probability Distributions.
    5. Joint Probability Distributions And Random Samples.
    6. Point Estimation.
    7. Statistical Intervals Based On A Single Sample.
    8. Tests Of Hypotheses Based On A Single Sample.
    9. Inferences Based On Two Samples.
    10. The Analysis Of Variance.
    11. Multifactor Analysis Of Variance.
    12. Simple Linear Regression And Correlation.
    13. Nonlinear And Multiple Regression.
    14. Goodness-Of-Fit Tests And Categorical Data Analysis.
    15. Distribution-Free Procedures
    16. Quality Control Methods.
  • Citation

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