Probability and Statistics for Engineers and Scientists

The probability that exactly one plant is generating electricity (X : 1) is the sum of the probabilities of the outcomes (1,0,0), (0, 1, 0), and (0, 0, 1), which is 0.04 + 0.03 + 0.16 : 0.23. Suppose that the probability of having x ...

Probability and Statistics for Engineers and Scientists

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.

More Books:

Probability and Statistics for Engineers and Scientists
Language: en
Pages: 864
Authors: Anthony J. Hayter
Categories: Mathematics
Type: BOOK - Published: 2012-01-01 - Publisher: Cengage Learning

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
Counterexamples in Probability
Language: en
Pages: 368
Authors: Jordan M. Stoyanov
Categories: Education
Type: BOOK - Published: 2014-01-15 - Publisher: Courier Corporation

"While most mathematical examples illustrate the truth of a statement, counterexamples demonstrate a statement's falsity. Enjoyable topics of study, counterexamples are valuable tools for teaching and learning. The definitive book on the subject in regards to probability, this third edition features the author's revisions and corrections plus a substantial new
Probability and Statistics with Integrated Software Routines
Language: en
Pages: 686
Authors: Ronald Deep
Categories: Mathematics
Type: BOOK - Published: 2006 - Publisher: Academic Press

Probability & Statistics with Integrated Software Routines is a calculus-based treatment of probability concurrent with and integrated with statistics through interactive, tailored software applications designed to enhance the phenomena of probability and statistics. The software programs make the book unique. The book comes with a CD containing the interactive software
Probability with STEM Applications
Language: en
Pages: 640
Authors: Matthew A. Carlton, Jay L. Devore
Categories: Technology & Engineering
Type: BOOK - Published: 2020-12-22 - Publisher: John Wiley & Sons

Probability with STEM Applications, Third Edition, is an accessible and well-balanced introduction to post-calculus applied probability. Integrating foundational mathematical theory and the application of probability in the real world, this leading textbook engages students with unique problem scenarios and more than 1100 exercises of varying levels of difficulty. The text
Introduction to Probability
Language: en
Pages: 510
Authors: Charles Miller Grinstead, James Laurie Snell
Categories: Mathematics
Type: BOOK - Published: 1997 - Publisher: American Mathematical Soc.

This text is designed for an introductory probability course at the university level for undergraduates in mathematics, the physical and social sciences, engineering, and computer science. It presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject.