Probability and Statistics for Engineers and Scientists

Probability and Statistics for Engineers and Scientists
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By:"Anthony J. Hayter"
"Mathematics"
Published on 2012-01-01 by Cengage Learning

standard deviations, 282 definition of, 104 of random variables, 104 of sample \u003cbr\u003e\nproportions (standard errors), 311 in ... 736—738, 740—741 control limits for, 738\u003cbr\u003e\n—740 \u003cb\u003estatistics definition\u003c/b\u003e of, 298 parameters distinguished from, 296 point ...

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PROBABILITY AND STATISTICS FOR ENGINEERS AND SCIENTISTS, Fourth Edition, continues the student-oriented 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 students understand and appreciate, as well as high-interest, relevant examples and data sets that keep students' attention. A flexible approach to the use of computer tools, including tips for using various software packages, allows instructors to choose the program that best suits their needs. At the same time, substantial computer output (using MINITAB and other programs) gives students the necessary practice in interpreting output. Extensive use of examples and data sets 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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

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