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doi: 10.2139/ssrn.2894432
handle: 10419/25077
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.
electronic books, hypertext, e-supported teaching, statistical software, electronic books, ddc:330, 330 Wirtschaft, C19, e-supported teaching, 17 Wirtschaft, statistical software, I21, hypertext, jel: jel:C19, jel: jel:I21
electronic books, hypertext, e-supported teaching, statistical software, electronic books, ddc:330, 330 Wirtschaft, C19, e-supported teaching, 17 Wirtschaft, statistical software, I21, hypertext, jel: jel:C19, jel: jel:I21
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