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Essentials of Probability & Statistics for Engineers & Scientists

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This text was designed for a one-semester course that covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. A balance between theory and application is maintained throughout the text. Coverage of analytical tools in statistics is enhanced with the use of calculus when discussion centers on rules and concepts in probability. Students using this text should have the equivalent of the completion of one semester of differential and integral calculus. Linear algebra would be helpful but not necessary if the instructor chooses not to include Section 7.11 on multiple linear regression using matrix algebra.

Class projects and case studies are presented throughout the text to give the student a deeper understanding of real-world usage of statistics. Class projects provide the opportunity for students to work alone or in groups to gather their own experimental data and draw inferences using the data. In some cases, the work conducted by the student involves a problem whose solution will illustrate the meaning of a concept and/or will provide an empirical understanding of an important statistical result. Case studies provide commentary to give the student a clear understanding in the context of a practical situation. The comments we affectionately call “Pot Holes” at the end of each chapter present the big picture and show how the chapters relate to one another. They also provide warnings about the possible misuse of statistical techniques presented in the chapter. A large number of exercises are available to challenge the student. These exercises deal with real-life scientific and engineering applications. The many data sets associated with the exercises are available for download from the website http://www.pearsonhighered.com/mathstatsresources.
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