Probability and statistics for engineers and scientists

Using many examples and data sets, this title 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.

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Bibliographic Details
Main Author: Hayter, Anthony J. (Author)
Format: Book
Language:English
Published: Boston, MA Brooks/Cole, ©2012
Edition:Fourth edition
Subjects:
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245 1 0 |a Probability and statistics for engineers and scientists  |c Anthony Hayter 
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500 |a Includes index 
505 0 |a Probability theory -- Random variables -- Discrete probability distributions -- Continous probability distributions -- The normal distributions -- Descriptive statistics -- Statistical estimation and sampling distributions -- Inferences on a population mean -- Comparing two population means -- Discrete data analysis -- The analysis of variance -- Simple linear regression and correlation -- Multiple linear regression and nonlinear regression -- Multifactor experimental design and analysis -- Nonparametric statistical analysis -- Quality control methods -- Reliability analysis and life testing. 
520 |a Using many examples and data sets, this title 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. 
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650 0 |a engineering  |x statistical methods 
650 0 |a Science  |x Statistical methods 
650 0 |a Probabilities 
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