Working with Noise in Bivariate Data

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Learning to work with bivariate data, a key goal of middle-grades statistics curricula, is aided by a sequence of lessons.

Contributor Notes

Randall E. Groth, regroth@salisbury.edu, teaches mathematics education courses at Salisbury University in Salisbury, Maryland. He is interested in designing ways to help develop students' statistical thinking.

Matthew Jones, mjones9@gulls.salisbury. edu,

Mary Knaub, mknaub0022@live.worwic.edu, were selected to be participants in a National Science Foundation (NSF) Research Experiences for Undergraduates (REU) project at Salisbury University. They collaborated on the design and implementation of the study reported in this article.

(Corresponding author is Groth regroth@salisbury.edu)(Corresponding author is Jones mjones9@gulls.salisbury. edu)(Corresponding author is Knaub mknaub0022@live.worwic.edu)
Mathematics Teaching in the Middle School

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