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Connected Teaching of Statistics

Authors: Härdle, Wolfgang; Klinke, Sigbert; Marron, J. S.;

Connected Teaching of Statistics

Abstract

Statistics is considered to be a difficult science since it requires a variety of skills including handling of quantitative data, graphical insights as well as mathematical ability. Yet ever increasing special knowledge of statistics is demanded since data of increasing complexity and size need to be understood and analyzed. Although this changing demand on educated statisticians is visible, our methods of teaching statistics follow essentially the ideas developed by our grandfathers in the fifties. An attractive and powerful new way of incorporating today’s and future demands is via tools based on an intra- or the internet. In this article we suggest a set of criteria for effective web based teaching and propose the first net based approach to meet these criteria.

Country
Germany
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Keywords

ddc:330, 330 Wirtschaft, 17 Wirtschaft

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
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123
30
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