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SCIENTIFIC DATA ANALYSIS P
Taschenbuch von Currell
Sprache: Englisch

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Beschreibung
Drawing on the author's extensive experience of supporting students undertaking projects, Scientific Data Analysis is a guide for any science undergraduate or beginning graduate who needs to analyse their own data, and wants a clear, step-by-step description of how to carry out their analysis in a robust, error-free way.
Drawing on the author's extensive experience of supporting students undertaking projects, Scientific Data Analysis is a guide for any science undergraduate or beginning graduate who needs to analyse their own data, and wants a clear, step-by-step description of how to carry out their analysis in a robust, error-free way.
Über den Autor
Until his retirement in 2009, Graham Currell was a Principal Lecturer in physics at the University of the West of England. During his early career his particular interest was in the preparation of specialist training programmes to support staff in university science laboratories in Asia, the Middle East, Africa and Central America, but since 2000 he has concentrated on the development of data analysis modules and self-study materials for science students, and until summer 2014 became a part-time research fellow, in which he further explored the development of online learning resources. This book builds on Graham's development of teaching materials for maths and statistics, including screen-capture videos in forensic, chemical, biological, and environmental science for UWE and the Royal Society of Chemistry. The approach reflects his extensive experience of providing tutorial and training support for students and staff carrying out research projects across both the physical and life sciences.
Inhaltsverzeichnis
  • Part I - Understanding the statistics

  • 1: Statistical concepts

  • 2: Regression analysis

  • 3: Hypothesis testing

  • 4: Comparing data

  • Part II - Analysing experimental data

  • 5: Project data analysis

  • 6: Single response variables

  • 7: Related variables

  • 8: Frequency data

  • 9: Multiple variables

Details
Medium: Taschenbuch
ISBN-13: 9780198712541
ISBN-10: 0198712545
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Currell
Hersteller: Oxford University Press(UK)
Maße: 246 x 189 x 19 mm
Von/Mit: Currell
Erscheinungsdatum: 27.01.2016
Gewicht: 0,681 kg
Artikel-ID: 129612081
Über den Autor
Until his retirement in 2009, Graham Currell was a Principal Lecturer in physics at the University of the West of England. During his early career his particular interest was in the preparation of specialist training programmes to support staff in university science laboratories in Asia, the Middle East, Africa and Central America, but since 2000 he has concentrated on the development of data analysis modules and self-study materials for science students, and until summer 2014 became a part-time research fellow, in which he further explored the development of online learning resources. This book builds on Graham's development of teaching materials for maths and statistics, including screen-capture videos in forensic, chemical, biological, and environmental science for UWE and the Royal Society of Chemistry. The approach reflects his extensive experience of providing tutorial and training support for students and staff carrying out research projects across both the physical and life sciences.
Inhaltsverzeichnis
  • Part I - Understanding the statistics

  • 1: Statistical concepts

  • 2: Regression analysis

  • 3: Hypothesis testing

  • 4: Comparing data

  • Part II - Analysing experimental data

  • 5: Project data analysis

  • 6: Single response variables

  • 7: Related variables

  • 8: Frequency data

  • 9: Multiple variables

Details
Medium: Taschenbuch
ISBN-13: 9780198712541
ISBN-10: 0198712545
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Currell
Hersteller: Oxford University Press(UK)
Maße: 246 x 189 x 19 mm
Von/Mit: Currell
Erscheinungsdatum: 27.01.2016
Gewicht: 0,681 kg
Artikel-ID: 129612081
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