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AutorWhite, David
TitelA Project-Based Approach to Statistics and Data Science
QuelleIn: PRIMUS, 29 (2019) 9, S.997-1038 (42 Seiten)
PDF als Volltext    Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1051-1970
DOI10.1080/10511970.2018.1488781
SchlagwörterMathematics Instruction; College Mathematics; Student Projects; Teaching Methods; Statistics; College Faculty; Research Reports; Interdisciplinary Approach; Statistical Analysis; Models; Program Effectiveness
AbstractIn an increasingly data-driven world, facility with statistics is more important than ever for our students. At institutions without a statistician, it often falls to the mathematics faculty to teach statistics courses. This paper presents a model that a mathematician asked to teach statistics can follow. This model entails connecting with faculty from numerous departments on campus to develop a list of topics, building a repository of real-world datasets from these faculty, and creating projects where students interface with these datasets to write lab reports aimed at consumers of statistics in other disciplines. The end result is students who are well prepared for interdisciplinary research, who are accustomed to coping with the idiosyncrasies of real data, and who have sharpened their technical writing and speaking skills. (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
Update2020/1/01
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