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Autor(en): 
  • Schuyler Huck
  • Statistical Misconceptions: Classic Edition 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2015  
    Genre:  Psychologie / Pädagogik 
     
    ANOVA Summary Table / Beta Errors / Beta Weight / Book’s Companion Web Site / CI’s Endpoint / common statistical misunderstandings / confidence interval interpretation / Credible Interval
    ISBN:  9781138120068 
    EAN-Code: 
    9781138120068 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Psychology Press & Routledge Classic Editions  
    Dimensionen:  H 229 mm / B 152 mm / D  
    Gewicht:  589 gr 
    Seiten:  288 
    Illustration:  Raster,schwarz-weiss, Tabellen, schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website. The author's accessible discussion of each misconception has five parts: The Misconception - a brief description of the misunderstanding Evidence that the Misconception Exists - examples and claimed prevalence Why the Misconception is Dangerous - consequence of having the misunderstanding Undoing the Misconception - how to think correctly about the concept Internet Assignment - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception. The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook. An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.

      



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