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Some experiences teaching factorial design in introductory statistics courses

Authors: Ron S. Kenett; David M. Steinberg;

Some experiences teaching factorial design in introductory statistics courses

Abstract

A major challenge in teaching statistics is to convey how statistics is used in solving real problems. Introductory courses often fail to provide students with a sense of how to apply statistical ideas. This paper will describe our experiences with a teaching approach in which students generate and analyse their own data by conducting a factorial experiment. We note our expectations, successes, and disappointments, as well as our recommendations.

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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!
5
Average
Average
Average
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