Ce qu'apporte l'exploration dynamique des données dans l'enseignement de la statistique

Monique Le Guen

Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne

Abstract: The aim of this article is to show the easiness of exploratory graphs achievement with SAS/INSIGHT®, and the "cognitive" power of visual analysis. This visual analysis is part of learning strategy based on an exploratory approach of data. We demonstrate by variations around basic graphs, such as histograms, bar charts, scatter plots, rotating plots, contour plots, how an inexperienced user in statistics can better assimilate the object of statistics and get a better understanding of the limits of statistical treatments from his/her own mental representations. To explain the importance of mental representations in mathematics, we refer to the cognitive psychology and especially to neurosciences of learning. The methodology of the active pedagogy is based on the triptych: exploration, verbalization, formalization, in accordance to the headways of the new science of learning

Keywords: Statistics; exploratory data analysis; EDA; visualization; exploratory graphics SAS; INSIGHT; learning; mental representations; mental pictures; exploration; verbalization; formalization (search for similar items in EconPapers)
JEL-codes: A2 C01 I2 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2008-07
References: Add references at CitEc
Citations:

Downloads: (external link)
ftp://mse.univ-paris1.fr/pub/mse/CES2008/R08046.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mse:cesdoc:r08046

Access Statistics for this paper

More papers in Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne Contact information at EDIRC.
Bibliographic data for series maintained by Lucie Label (lucie.label@univ-paris1.fr).