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Integrable e-lements for Statistics Education Author info | Abstract | Publisher info | Download info | Related research | Statistics Wolfgang Härdle
Sigbert Klinke
Uwe Ziegenhagen
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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.
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Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number
SFB649DP2005-058.
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Length: 15 pages
Date of creation: Dec 2005Date of revision:
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Keywords: electronic books ; hypertext ; e-supported teaching ; statistical software ; Other versions of this item:
Find related papers by JEL classification: I21 - Health, Education, and Welfare - - Education - - - Analysis of Education C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Other
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Christian Weiner, 2005.
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