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Basic experimental strategies and data analysis for science and engineering / John Lawson (Brigham Young University, Provo, Utah, USA), John Erjavec (University of North Dakota, Grand Forks, USA)

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Boca Raton ; London ; New York : CRC Press, [2017]Copyright date: © 2017Description: 1 Online-Ressource (1 online resource)ISBN:
  • 9781466512184
  • 9781315356914
  • 9781315337852
  • 9781315374529
Subject(s): Additional physical formats: 9781466512177. | Erscheint auch als: Basic experimental strategies and data analysis for science and engineering. Druck-Ausgabe Boca Raton : Chapman & Hall/CRC, 2017. xxv, 418 SeitenDDC classification:
  • 519.5
MSC: MSC: *62-01 | 00A06 | 62-07RVK: RVK: ZQ 3100Online resources: Summary: 1.7 Good Design Requirements 1.8 Summary ; 1.8.1 Important Terms and Concepts ; 2: Statistics and Probability; 2.1 Introduction ; 2.2 Graphical and Numerical Summaries of a Single Response-Variable ; 2.2.1 Dot Diagrams ; 2.2.2 Sample Mean, Variance, and Standard Deviation ; 2.2.3 HistogramsSummary: 2.2.4 Five-Number Summaries and Boxplots 2.3 Graphical and Numerical Summaries of the Relation Between Variables ; 2.4 What to Expect from Theory ; 2.4.1 Probability Density Functions and Probability ; 2.4.2 Expected Values, Variance, and Standard Deviation ; 2.4.3 Normal DistributionSummary: Cover ; Half Title ; Title Page ; Copyright Page ; Dedication ; Table of Contents ; List of Figures ; List of Tables ; Preface ; Author Bios ; 1: Strategies for Experimentation with Multiple Factors; 1.1 Introduction ; 1.2 Some Definitions ; 1.3 Classical Versus Statistical Approaches to ExperimentationSummary: Although books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed by non-statisticians. Therefore, a need exists for a desk reference that will be useful to practitioners who use experimental designs in their work. This book fills that gap. It is written as a guide that can be used as a reference book or as a sole or supplemental text for a university coursePPN: PPN: 876920806Package identifier: Produktsigel: ZDB-4-NLEBK
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