id: 06455378
dt: j
an: 2015e.00793
au: Strayer, Jeremy F.
ti: Sample too small? Probably not!
so: Math. Teach. (Reston) 107, No. 3, 226-230 (2013).
py: 2013
pu: National Council of Teachers of Mathematics (NCTM), Reston, VA
la: EN
cc: K40 K70 U70
ut: sampling; sample size; statistical analysis; simulation; misconceptions;
educational technology; handheld devices; technology uses in education;
statistics; inferences
ci:
li: http://www.nctm.org/publications/article.aspx?id=39502
ab: From the text: Statistical studies are referenced in the news every day, so
frequently that people are sometimes skeptical of reported results.
Often, no matter how large a sample size researchers use in their
studies, people believe that the sample size is too small to make broad
generalizations. The tasks presented in this article use simulations of
repeated sampling and empirical sampling distributions as tools to help
students wrestle with and correct this common misconception. The
technology of choice for these tasks is the TI-Nspire handheld and
teacher computer software. The document structure of the Nspire makes
it possible to lead students through explorations on the handheld from
page to page and to link data and variables between the pages and
applications. This article describes both the creation of and the
instructional use of an Nspire document (How large a sample.tns).
Teachers can use this Nspire document for a demonstration, or, if
students have access to Nspires, the document can be transferred to
them and they can step through it individually or in small groups. This
article provides specific directions for how to create this document
and describes how to use it during instruction. The necessary
keystrokes are given for both the keypad in the software and the
handheld itself so that the instructions will be useful in both
environments.
rv: