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 N22Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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Books | College Library General Circulation Section | GC | GC 519.5 N22 2024 (Browse shelf) | Available | HNU004669 |
Browsing College Library Shelves , Shelving location: General Circulation Section , Collection code: GC Close shelf browser
GC 519.5 M52 2020 Introduction to probability and statistics / | GC 519.5 N22 2020 Statistics for engineers and scientists / | GC 519.5 N22 2022 Elementary statistics / | GC 519.5 N22 2024 Statistics for engineers and scientists / | GC 519.5 P14 Understanding statistics in the behavioral sciences / | GC 519.5 P14 2013 Understanding statistics in the behavioral sciences / | GC 519.5 P33 2020 Introduction to statistics and data analysis / |
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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