Using interpolation in Grade 5 to solve a mystery

Abstract The practice of statistics has the power to motivate and support learning across the STEM (Science, Technology, Engineering, and Mathematics) disciplines. When connected with meaningful science contexts, statistical problem solving through the collection of data and subsequent data analysis, supported by contemporary graphing technology, presents opportunities to be innovative and creative in the delivery of learning across STEM curricula. Illustrated in this paper are the statistical outcomes associated with Grade 5 students, who were set the task of solving a mystery about an unknown concentration of a liquid through interpolation of data, which is seen here as finding a missing value in a dataset of two numerical variables where a relationship in the two variables can be represented in a bivariate graph.

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Publication Details

Journal
Teaching Statistics
Published
2024-10-09
DOI
https://doi.org/10.1111/test.12388
Citations
4
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
2.84

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article

Using interpolation in Grade 5 to solve a mystery

Jane Watson, Noleine Fitzallen
4 citations
Teaching Statistics
Statistics Education and Methodologies
2.84
article

Using interpolation in Grade 5 to solve a mystery

Jane Watson, Noleine Fitzallen
article en
4 citations

Abstract

Abstract The practice of statistics has the power to motivate and support learning across the STEM (Science, Technology, Engineering, and Mathematics) disciplines. When connected with meaningful science contexts, statistical problem solving through the collection of data and subsequent data analysis, supported by contemporary graphing technology, presents opportunities to be innovative and creative in the delivery of learning across STEM curricula. Illustrated in this paper are the statistical outcomes associated with Grade 5 students, who were set the task of solving a mystery about an unknown concentration of a liquid through interpolation of data, which is seen here as finding a missing value in a dataset of two numerical variables where a relationship in the two variables can be represented in a bivariate graph.

Teaching StatisticsVol. 47(3)
University of Tasmania (AU)
Australian Research Council
Quality Education
Openalex Percentile: Top 9%
Statistics Education and Methodologies
2.84
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