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Autor/inn/enEngledowl, Christopher; Weiland, Travis
TitelData (Mis)representation and COVID-19: Leveraging Misleading Data Visualizations for Developing Statistical Literacy across Grades 6-16
QuelleIn: Journal of Statistics and Data Science Education, 29 (2021) 2, S.160-164 (5 Seiten)
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ZusatzinformationORCID (Engledowl, Christopher)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
DOI10.1080/26939169.2021.1915215
SchlagwörterData Interpretation; COVID-19; Pandemics; Deception; Visualization; Statistics; Literacy; Statistics Education; Elementary School Students; Secondary School Students; Mass Media; Public Agencies; Public Health; Introductory Courses; Common Core State Standards; Kansas; Georgia
AbstractThe novel coronavirus has forced the world to interact with data visualizations in order to make decisions at the individual level that have, sometimes, grave consequences. As a result, the lack of statistical literacy among the general public, as well as organizations that have a responsibility to share accurate, clear, and timely information with the general public, has resulted in widespread (mis)representations and (mis)interpretations. In this article, we showcase examples of how data related to the COVID-19 pandemic has been (mis)represented in the media and by governmental agencies and discuss plausible reasons why it has been (mis)represented. We then build on these examples to draw connections to how they could be used to enhance statistics teaching and learning, especially as it relates to secondary and introductory tertiary statistics and quantitative reasoning coursework. (As Provided).
AnmerkungenTaylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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