id: 06664492
dt: j
an: 2016f.01244
au: Roscoe, Matt B.
ti: A vehicle for bivariate data analysis.
so: Math. Teach. Middle Sch. 21, No. 6, 348-356 (2016).
py: 2016
pu: National Council of Teachers of Mathematics (NCTM), Reston, VA
la: EN
cc: K43
ut: data analysis; probability; statistics
ci:
li: http://www.nctm.org/Publications/Mathematics-Teaching-in-Middle-School/2016/Vol21/Issue6/A-Vehicle-for-Bivariate-Data-Analysis/
ab: Summary: Instead of reserving the study of probability and statistics for
special fourth-year high school courses, the Common Core State
Standards for Mathematics (CCSSM) takes a “statistics for all”
approach. The standards recommend that students in grades 6‒8 learn
to summarize and describe data distributions, understand probability,
draw random samples, make inferences, and describe associations. In
response to the growing needs of the nation in the area of data
literacy, changes to the mathematics education landscape require that
students be given the opportunity to use statistics to create
mathematical meaning from data. This article addresses this challenge
by presenting a “vehicle” to meet many of the Common Core’s
expectations. Many eighth graders eagerly look forward to the freedom
and social status that accrue from driving an automobile. The author
has found that many eighth graders, in spite of being on the verge of
driving in his state of Montana, know little about cars. They hold
misconceptions about which models are best sellers, how fuel economy
varies, how engine power differs, and how much cars cost. In this
article, the author provides a data set that is an ideal environment
for an exploration of bivariate quantitative data. (ERIC)
rv: