• Medientyp: E-Book
  • Titel: Integrable E-Lements for Statistics Education
  • Beteiligte: Härdle, Wolfgang K. [VerfasserIn]; Klinke, Sigbert [Sonstige Person, Familie und Körperschaft]; Ziegenhagen, Uwe [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2017]
  • Erschienen in: SFB 649 Discussion Paper 2005-058
  • Umfang: 1 Online-Ressource (15 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.2894432
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 8, 2005 erstellt
  • Beschreibung: Without doubt modern education in statistics must involve practical, computer-based data analysis but the question arises whether and how computational elements should be integrated into the canon of methodological education. Should the student see and study high-level programming code right at the beginning of his or her studies? Which technology can be presented during class and which computational elements can re-occur (at increasing level of complexity) during the different courses?In this paper we address these questions and discuss where e-techniques have their limits in statistics education
  • Zugangsstatus: Freier Zugang