Abstract
Within the “New Media in Education Funding Programme” the German Federal Ministry of Education and Research (bmb+f ) has supported the project e-stat to develop and to provide a multimedia, web-based, and interactive learning and teaching environment in applied statistics called EMILeA-stat. After sketching the structure of EMILeA-stat, its scope and objectives briefly we focus on interactive visualizations in descriptive statistics as a specific and typical aspect of the system. Alternatively, the visualizations are available off-line as a graphical package called st-apps.
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References
Burkschat, M., Cramer, E., Kamps, U. (2003). Beschreibende Statistik: Grundlegende Methoden. Springer, Heidelberg (in German).
Cramer, E., Cramer, K., Kamps, U., Zuckschwerdt, Ch. (2004). Beschreibende Statistik: Interaktive Grafiken. Springer, Heidelberg (in German).
Cramer, E., Cramer, K., Kamps, U. (2002). e-stat: A web-based learning environment in applied statistics. Proceedings in Computational Statistics, W. Härdle, B. Rönz (Eds.), Physica-Verlag, Heidelberg, 309–314.
Cramer, E., Härdle, W., Kamps, U., Witzel R. (2003). E-stat: Views, methods, applications. Bulletin of the International Statistical Institute 54th Session, Contributed Papers, Volume LX, Book 2, 82–85.
Cramer, K., Kamps, U. (2003). Interactive graphics for elementary statistical education. Bulletin of the International Statistical Institute 54th Session, Contributed Papers, Volume LX, Book 1, 222–223.
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Cramer, K., Kamps, U., Zuckschwerdt, C. (2004). st-apps and Emilea-Stat: Interactive Visualizations in Descriptive Statistics. In: Antoch, J. (eds) COMPSTAT 2004 — Proceedings in Computational Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2656-2_7
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DOI: https://doi.org/10.1007/978-3-7908-2656-2_7
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