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Statistics for Engineers & Scientists


This book contains many examples that feature real, contemporary data sets. Also provide extensive coverage of propagation of error, presents a solid introduction to simulation methods and the bootstrap, including application to verifying normality assumptions, computing probabilities, estimating bias, computing confidence intervals, and testing hypotheses. Provides more extensive coverage of linear model diagnostic procedure, material on examination, and the standard introductory topics including descriptive statistics, probability, confidence intervals, hypothesis tests, linear regression, factorial experiments, and statistical quality control.
Navidi, William - Personal Name
4th
519.5 Nav s
9781259251603
519.5
Text
English
Mc Graw Hill
2015
New York
910p.
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