Probability and Statistics for Engineers and Scientists, with its unique balance of theory and methodology, provides a rigorous introduction to basic probability theory and statistical inference. It offers extensively updated coverage, new problem sets to enhance the relevance of book to today's engineers as well as biological, physical and computer science. It emphasizes key ideas as well as the risks and hazards associated with practical application of the material.
It also includes new material on topics including binary data, quartiles, importance of experimental design, dummy variables, Poisson distribution, central limit theorem and data plotting.
It also includes new material on topics including binary data, quartiles, importance of experimental design, dummy variables, Poisson distribution, central limit theorem and data plotting.
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