PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, Fourth Edition, continues the approach that has made previous editions successful. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily—and understands their vocabulary. The result of this familiarity with the professional community is a clear and readable writing style that readers understand and appreciate, as well as high-interest, relevant examples and data sets that hold readers' attention. A flexible approach to the use of computer tools includes tips for using various software packages as well as computer output (using MINITAB and other programs) that offers practice in interpreting output. Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in a variety of engineering areas as well as for students in physics, chemistry, computing, biology, management, and mathematics. Machine generated contents note: 1.1.Probabilities 1.2.Events 1.3.Combinations of Events 1.4.Conditional Probability 1.5.Probabilities of Event Intersections 1.6.Posterior Probabilities 1.7.Counting Techniques 1.8.Case Study: Microelectronic Solder Joints 1.9.Case Study: Internet Marketing 1.10.Supplementary Problems 2.1.Discrete Random Variables 2.2.Continuous Random Variables 2.3.The Expectation of a Random Variable 2.4.The Variance of a Random Variable 2.5.Jointly Distributed Random Variables 2.6.Combinations and Functions of Random Variables 2.7.Case Study: Microelectronic Solder Joints 2.8.Case Study: Internet Marketing 2.9.Supplementary Problems 3.1.The Binomial Distribution 3.2.The Geometric and Negative Binomial Distributions 3.3.The Hypergeometric Distribution 3.4.The Poisson Distribution 3.5.The Multinomial Distribution 3.6.Case Study: Microelectronic Solder Joints 3.7.Case Study: Internet Marketing 3.8.Supplementary Problems 4.1.The Uniform Distribution 4.2.The Exponential Distribution 4.3.The Gamma Distribution 4.4.The Weibull Distribution 4.5.The Beta Distribution 4.6.Case Study: Microelectronic Solder Joints 4.7.Case Study: Internet Marketing 4.8.Supplementary Problems 5.1.Probability Calculations Using the Normal Distribution 5.2.Linear Combinations of Normal Random Variables 5.3.Approximating Distributions with the Normal Distribution 5.4.Distributions Related to the Normal Distribution 5.5.Case Study: Microelectronic Solder Joints 5.6.Case Study: Internet Marketing 5.7.Supplementary Problems 6.1.Experimentation 6.2.Data Presentation 6.3.Sample Statistics 6.4.Examples 6.5.Case Study: Microelectronic Solder Joints 6.6.Case Study: Internet Marketing 6.7.Supplementary Problems 7.1.Point Estimates 7.2.Properties of Point Estimates 7.3.Sampling Distributions 7.4.Constructing Parameter Esti. Featuring examples and data sets as well as a flexible approach to the use of computer tools, this text illustrates the importance of statistical data collection and analysis for students in an array of engineering and science areas.
