id: 06617477
dt: a
an: 2016e.00912
au: Noll, Jennifer; Gebresenbet, Mulugeta; Glover, Erin Demorest
ti: A modeling and simulation approach to informal inference: successes and
challenges.
so: Ben-Zvi, Dani (ed.) et al., The teaching and learning of statistics.
International perspectives. Cham: Springer (ISBN 978-3-319-23469-4/hbk;
978-3-319-23470-0/ebook). 139-150 (2016).
py: 2016
pu: Cham: Springer
la: EN
cc: K70 U70 K90
ut: statistics; informal inference; technology; simulation; TinkerPlots
ci:
li: doi:10.1007/978-3-319-23470-0_19
ab: Summary: The research presented explores various ways in which introductory
statistics students used dynamic statistical software to generate
models and simulations as tools to support their thinking and to help
them answer informal statistical inference questions. Modern computing
technology has changed the nature of statistics as a discipline.
Introductory statistics courses need to change if they are to keep pace
with modern innovations in statistics. This research report focuses on
16 students enrolled in an elementary statistics course. The course
implemented CATALST curricula and the extensive use of TinkerPlots
software in order to investigate studentsâ€™ successes and challenges
as they engaged with the technology as a tool for answering informal
statistical inference questions.
rv: