id: 06439548
dt: a
an: 2015d.00878
au: Martin, Michael A.
ti: An elephant never forgets: effective analogies for teaching statistical
modeling.
so: MacGillivray, Helen (ed.) et al., Topics from Australian conferences on
teaching statistics. OZCOTS 2008‒2012. New York, NY: Springer (ISBN
978-1-4939-0602-4/hbk; 978-1-4939-0603-1/ebook). Springer Proceedings
in Mathematics \& Statistics 81, 13-24 (2014).
py: 2014
pu: New York, NY: Springer
la: EN
cc: K80 K70 K90 K40
ut: analysis of variance decomposition; influence; leverage; model selection;
multicollinearity; regression; sequential sums of squares; testing
multiple hypotheses
ci: ME 2011d.00757
li: doi:10.1007/978-1-4939-0603-1_2
ab: Summary: Analogies are useful and potent tools for introducing new topics
in statistics to students. {\it M. A. Martin} [J. Stat. Educ. 11, No.
2, 1‒25 (2003; ME 2011d.00757); “What lies beneath: inventing new
wheels from old", in: OZCOTS 2008, Proceedings of the 6th Australian
Conference on Teaching Statistics. Statistical Society of Australia
Incorporated (SSAI). 35‒52 (2008)] considered the case for teaching
with analogies in introductory statistics courses, and also gave many
examples of particular analogies that had been successfully used to
make difficult statistical concepts more accessible to students. In
this chapter, we explore more deeply analogies for statistical concepts
from more advanced topics such as regression modeling and
high-dimensional data.
rv: