id: 06310457
dt: a
an: 2014e.00737
au: Gould, Robert; Ã‡etinkaya-Rundel, Mine
ti: Teaching statistical thinking in the data deluge.
so: Wassong, Thomas (ed.) et al., Mit Werkzeugen Mathematik und Stochastik
lernen. Heidelberg: Springer Spektrum (ISBN 978-3-658-03103-9/pbk;
978-3-658-03104-6/ebook). 377-391 (2014).
py: 2014
pu: Heidelberg: Springer Spektrum
la: EN
cc: K45 B65 U75
ut: statistical thinking; data deluge; undergraduate students; data analysis;
mathematical competitions; data representation; use of technology
ci:
li: doi:10.1007/978-3-658-03104-6_27
ab: Summary: Engaging with data is at the heart of statistical thinking, but
readily-available data are now complex and large, and so statistical
thinking is perhaps also more complex than in the recent past. We
discuss an undergraduate event, DataFest, as a means for supplementing
classroom approaches to teaching statistical thinking, and discuss
lessons learned from observations during two DataFests held at two
universities in the United States.
rv: