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Journal of Statistics and Data Science Education
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Teacher Preparation in Statistics: Focusing on Variability Through Attending to Precision

Authors: Anna Bargagliotti; Christina Eubanks-Turner;

Teacher Preparation in Statistics: Focusing on Variability Through Attending to Precision

Abstract

The Common Core Standards for Mathematical Practice describe mathematical habits of mind foundational for mathematical thinking and understanding. The Statistical Education of Teachers (SET) report, commissioned by the American Statistical Association (ASA), interprets the Mathematical Practices through a statistical lens. In this article, we present tasks focused on variability that can be taught through the lens of Mathematical Practice 6: Attending to Precision (MP6). We show that teacher tasks that focus on variability and its quantification (by computing multiple different measures on different aspects of an entire dataset and constructing arguments), prompts teachers to attend to statistical precision. Additionally, we make the connection that ideas related to variability are present in all components of the statistical investigative process: posing questions that anticipate variability, anticipating variability in data collection, analyzing the variability present, and interpreting the variability to make quantitative statements about error and tasks that aim toward understanding variability require the employment of Statistical MP6.

Related Organizations
Keywords

LC8-6691, Statistics education, Statistical knowledge for teaching, Understanding variability, Probabilities. Mathematical statistics, Special aspects of education, QA273-280, Mathematical practices

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold