This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering 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 mathematical development and potentially overwhelming derivations, Probability and Statistics for Engineering and the Sciences emphasizes concepts, models, methodology, and applications that facilitate your understanding.
- “Simulation Experiments” help students gain an understanding of sampling distributions and the insight they provide, especially when a derivation is too complex to carry out.
- Strong computer 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 Gary McClelland’s Seeing Statistics, specifically designed for this calculus-based text, allows students to experience statistics firsthand.
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.
Jay L. Devore