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Autor(en): 
  • Lynda K. Skipper
  • Philip J. A. Skipper
  • Experimental Design and Scientific Data Analysis 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2024  
    Genre:  Naturwissensch., Medizin, Technik 
     
    conservation experiment planning / Conservation Science / Data analysis# general / Data Interpretation / Data science and analysis# general / ethical sampling / ethical testing / experimental design methodology
    ISBN:  9781032501635 
    EAN-Code: 
    9781032501635 
    Verlag:  Taylor and Francis 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 156 mm / D  
    Gewicht:  290 gr 
    Seiten:  138 
    Illustration:  farbige Illustrationen, Raster, farbig, Zeichnungen, farbig, Tabellen, farbig 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    Experimental Design and Scientific Data Analysis provides accessible information about the research process from start to finish as applied to conservation to enable readers to successfully plan and carry out research and share findings effectively with others.

    The book is divided into two parts, starting with experimental design in Part I and then considering data analysis in Part II. Part I takes the reader through the process of designing and planning experiments, from the initial design of aims and objectives to ethical testing, and includes a range of examples to demonstrate how these ideas apply to a range of specialisms and materials. Part II focuses on what to do with data once it has been collected, including choosing the right statistical test, different methods of presenting information, and communicating your findings clearly to your chosen audience. Questions at the end of each chapter are designed to help readers check and consolidate their knowledge of the different topics.

    Experimental Design and Scientific Data Analysis is suitable for students, emerging professionals, and experienced conservators at different stages of their careers, and is particularly suitable for those without a scientific background.

      



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