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Statistics for engineers and scientists / William Navidi, Colorado School of Mines.

By: Navidi, William Cyrus [author.].
Publisher: New York, NY : McGraw Hill LLC, [2024]Edition: Sixth edition.Description: xvi, 934 pages : color illustrations ; 23 cm.Content type: text Media type: computer Carrier type: online resourceISBN: 9781266115837.Other title: Statistics for engineers & scientists [Cover title].Subject(s): Mathematical statistics -- Simulation methods | Bootstrap (Statistics) | Linear models (Statistics) | Engineering -- Statistical methods | Science -- Statistical methodsDDC classification: 519.5 N22
Contents:
Chapter 1: Sampling and Descriptive Statistics Chapter 2: Probability Chapter 3: Propagation of ErrorChapter 4: Commonly Used Distributions Chapter 5: Confidence Intervals Chapter 6: Hypothesis Testing Chapter 7: Correlation and Simple Linear Regression Chapter 8: Multiple Regression Chapter 9: Factorial Experiments Chapter 10: 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.
Item type Current location Collection Call number Status Date due Barcode
Books Books College Library
General Circulation Section
GC GC 519.5 N22 2024 (Browse shelf) Available HNU004669

Includes index.

Chapter 1: Sampling and Descriptive Statistics Chapter 2: Probability Chapter 3: Propagation of ErrorChapter 4: Commonly Used Distributions Chapter 5: Confidence Intervals Chapter 6: Hypothesis Testing Chapter 7: Correlation and Simple Linear Regression Chapter 8: Multiple Regression Chapter 9: Factorial Experiments Chapter 10: 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.

College of Engineering and Computer Studies Bachelor of Science in Civil Engineering

In English

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