Probability and Statistics for Engineers and Scientists – Anthony Haytr – 3rd Edition


The new edition of Anthony ’s continues in the same -oriented vein that has made previous editions successful. Because Tony teaches and conducts research at a premier engineering school, he is in touch with daily and understands their vocabulary.

This leads to a clear and more readable writing style that understand and appreciate. Additionally, because of his intimacy with the professional community, Hayter includes many high-interest examples and datasets that keep ’ attention throughout the term. PROBABILITY AND FOR employs a flexible approach with regard to the use of computer tools. Because the book is not tied to a particular software package, instructors may choose the program that best suits their needs.

Through the use of extensive examples and datasets, the book illustrates the importance of statistical data collection and for students in the fields of aerospace, biochemical, civil, electrical, environmental, industrial, mechanical, and textile engineering, as well as for students in physics, chemistry, computing, biology, , and mathematics.

Table of Content

1. Probability theory.
2. Random variables.
3. Discrete probability distributions.
4. Continuous probability distributions.
5. The normal distribution.
6. Descriptive statistics.
7. Statistical estimation and sampling distributions.
8. Inferences on a population mean.
9. Comparing two population means.
10. Discrete data analysis.
11. The analysis of variance.
12. Simple linear regression and correlation.
13. Multiple linear regression and nonlinear regression.
14. Multifactor experimental design and analysis.
15. Nonparametric statistical analysis.
16. Quality control methods.
17. Reliability analysis and life testing.
Answers to odd-numbered problems.

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