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Building Up the Box Plot as a Tool for Representing and Structuring Data Distributions: An Instructional Effort Using Tinkerplots and Evidence of Students’ Reasoning

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The Teaching and Learning of Statistics

Abstract

Six 7th-grade students engaged with an instructional sequence involving the use of the TinkerPlots software to organize data sets in ways intended to help them construe two attributes: the location of subsets of data values within a subrange of the entire set and the length of the intervals comprised by those subsets. Findings from a pretest and a culminating task suggest that the students enriched their ability to imagine and create a hypothetical data distribution from a given representative box plot, and that they became oriented to the spread of portions of a data set as indicated by the length of quartiles.

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Notes

  1. 1.

    Scenario and box plots were retrieved from http://onlinestatbook.com/chapter2/Box plots.html on April 28, 2011.

  2. 2.

    The results for Question (ii) were nearly identical to those for Question (i) and are therefore not displayed here.

  3. 3.

    We follow Tukey’s (1977) usage and refer to “hinges” as the numerical values that delineate the boundaries of the boxes and whiskers, and to “quartiles” as the intervals constituted by those boxes and whiskers.

  4. 4.

    The task was designed to mimic Question (v) of the pretest, so that we might assess students’ thinking at post-experiment.

  5. 5.

    These students were not studying statistics in their regular class during the semester in which they participated in the teaching experiment. It is therefore implausible that this enrichment was due to their regular school instruction.

  6. 6.

    This information is not indicated in the table.

References

  • Bakker, A., Biehler, R., & Konold, C. (2005). Should young students learn about box plots? In G. Burrill & M. Camden (Eds.), Curricular development in statistics education: international association for statistical education 2004 roundtable (pp. 163–173). Voorburg, The Netherlands: International Statistical Institute.

    Google Scholar 

  • Bright, G. W., Brewer, W., McClain, K., & Mooney, E. S. (2003). Navigating through data analysis in grades 6-8. Reston, VA: National Council of Teachers of Mathematics.

    Google Scholar 

  • Garfield, J., & Ben-Zvi, D. (2010). Developing students’ statistical reasoning: Connecting research and teaching practice. Dordrecht, The Netherlands: Springer.

    Google Scholar 

  • Konold, C. (2007). Designing a data analysis tool for learners. In M. C. Lovett & P. Shah (Eds.), Thinking with data (pp. 267–292). New York: Lawrence Erlbaum Associates.

    Google Scholar 

  • Konold, C., & Miller, C. D. (2005). TinkerPlots: Dynamic data exploration. Emeryville, CA: Key Curriculum Press.

    Google Scholar 

  • Pfannkuch, M. (2007). Year 11 students’ informal inferential reasoning: A case study about the interpretation of box plots. International Electronic Journal of Mathematics Education, 2(3), 149–167.

    Google Scholar 

  • Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley.

    Google Scholar 

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Acknowledgment

This report is based upon work supported by the National Science Foundation under Grant No. 0953987. Any opinions, findings, and conclusions or recommendations expressed in this report are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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Correspondence to Luis Saldanha .

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Saldanha, L., McAllister, M. (2016). Building Up the Box Plot as a Tool for Representing and Structuring Data Distributions: An Instructional Effort Using Tinkerplots and Evidence of Students’ Reasoning. In: Ben-Zvi, D., Makar, K. (eds) The Teaching and Learning of Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-23470-0_29

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  • DOI: https://doi.org/10.1007/978-3-319-23470-0_29

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23469-4

  • Online ISBN: 978-3-319-23470-0

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