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Statistics for engineers and scientists / William Navidi.

By: Material type: TextTextPublisher: New York : McGraw Hill LLC, 2024Edition: Sixth editionDescription: xix, 934 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781266115837
Other title:
  • Statistics for engineers & scientists [Cover title]
Subject(s): Additional physical formats: Online version:: Statistics for engineers and scientistsDDC classification:
  • 519.5 N229s 23/eng20220830
LOC classification:
  • QA276.4 .N38 2024
Contents:
Sampling and descriptive statistics -- Probability -- Propagation of error -- Commonly used distributions -- Confidence intervals -- Hypothesis testing -- Correlation and simple linear regression -- Multiple regression -- Factorial experiments -- Statistical quality control.
Summary: "The idea for this book grew out of discussions between the statistics faculty and the engineering faculty at the Colorado School of Mines regarding our introductory statistics course for engineers. Our engineering faculty felt that the students needed substantial coverage of propagation of error, as well as more emphasis on modelfitting skills. The statistics faculty believed that students needed to become more aware of some important practical statistical issues such as the checking of model assumptions and the use of simulation"-- Provided by publisher.
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library Graduate School Library GRD 519.5 N229s 2024 (Browse shelf(Opens below)) 1-1 Available 031864

Includes index.

Sampling and descriptive statistics -- Probability -- Propagation of error -- Commonly used distributions -- Confidence intervals -- Hypothesis testing -- Correlation and simple linear regression -- Multiple regression -- Factorial experiments -- Statistical quality control.

"The idea for this book grew out of discussions between the statistics faculty and the engineering faculty at the Colorado School of Mines regarding our introductory statistics course for engineers. Our engineering faculty felt that the students needed substantial coverage of propagation of error, as well as more emphasis on modelfitting skills. The statistics faculty believed that students needed to become more aware of some important practical statistical issues such as the checking of model assumptions and the use of simulation"-- Provided by publisher.

Ages 18+ McGraw Hill LLC

Grades 10-12 McGraw Hill LLC

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