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The new edition of Anthony Hayter's book continues in the same student-oriented vein that has made previous editions successful. Because Tony Hayter teaches and conducts research at a premier engineering school, he is in touch with engineers daily and understands their vocabulary. This leads to a clear and more readable writing style that students understand and appreciate. Additionally, because of his intimacy with the professional community, Hayter includes many high-interest examples and datasets that keep students' attention throughout the term. PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS 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. However, the book does provide substantial computer output (using MINITAB and other programs) to give students the necessary practice in interpreting output. "Computer Note" sections offer tips for using various software packages to perform analysis of the datasets, which can be downloaded from the website. Through the use of extensive examples and datasets, the book illustrates the importance of statistical data collection and analysis 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, management, and mathematics.
This textbook investigates the fundamental principles of probability and statistical analysis as applied to engineering and scientific disciplines. The author, Anthony Hayter, leverages his daily interaction with engineers and researchers to present concepts in a clear, student-oriented manner. The book employs a flexible approach to computational tools, allowing instructors to select preferred software while providing substantial output examples from packages like MINITAB for practical interpretation. It features numerous high-interest examples and datasets drawn from various engineering fields and scientific domains to illustrate the importance of statistical methods.
This textbook is designed for engineering and science students, emphasizing practical application and clear communication of statistical concepts. Its approach is noted for being student-oriented, with a focus on real-world examples and datasets relevant to professional practice. The flexibility regarding computational tools allows for adaptation to various academic environments, while the inclusion of computer output aids in developing practical data analysis skills. The book aims to illustrate the critical role of statistical data collection and analysis across a broad spectrum of technical fields.
Page Count:
832
Publication Date:
2007-01-01
Publisher:
Brooks/Cole Publishing Co.
ISBN-10:
0007786786
ISBN-13:
9780007786787
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