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Autor(en): 
  • Thomas Cleff
  • Exploratory Data Analysis in Business and Economics: An Introduction Using SPSS, Stata, and Excel 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 4 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2013  
    Genre:  Wirtschaft / Recht 
     
    B / Economics, finance, business & management / Mathematical & statistical software / Mathematical statistics / Mathematics and Statistics / Maths for computer scientists / Probability and statistics / Probability and Statistics in Computer Science / Social research & statistics / Statistics / Statistics for Social Sciences, Humanities, Law
    ISBN:  9783319015163 
    EAN-Code: 
    9783319015163 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 20 mm 
    Gewicht:  3693 gr 
    Seiten:  215 
    Illustration:  XXII, 215 p. 130 illus., 11 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, "Exploratory Data Analysis in Business and Economics", aims to familiarise students of economics and business as well as practitioners in firms with the basic principles, techniques, and applications of descriptive statistics and data analysis. Drawing on practical examples from business settings, it demonstrates the basic descriptive methods of univariate and bivariate analysis. The textbook covers a range of subject matter, from data collection and scaling to the presentation and univariate analysis of quantitative data, and also includes analytic procedures for assessing bivariate relationships. It does not confine itself to presenting descriptive statistics, but also addresses the use of computer programmes such as Excel, SPSS, and STATA, thus treating all of the topics typically covered in a university course on descriptive statistics. The German edition of this textbook is one of the "bestsellers" on the German market for literature in statistics.

      



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