Every rose has its thorn: secondary teachers’ reasoning about statistical models

Author:

Justice NicolaORCID,Zieffler Andrew,Huberty Michael D.,delMas Robert

Publisher

Springer Science and Business Media LLC

Subject

General Mathematics,Education

Reference58 articles.

1. Bakker, A., & Derry, J. (2011). Lessons from inferentialism for statistics education. Mathematical Thinking and Learning, 13(1–2), 5–26.

2. Batanero, C., Henry, M., & Parzysz, B. (2005). The nature of chance and probability. In G. Jones (Ed.), Exploring probability in school: challenges for teaching and learning (pp. 15–37). New York: Springer.

3. Behrens, J. T. (1997). Toward a theory and practice of using interactive graphics in statistics education. In J. B. Garfield & G. Burril (Eds.), Research on the role of technology in teaching and learning statistics: Proceedings of the 1996 International Association for Statistics Education (IASE) roundtable (pp. 111–122). Voorburg: International Statistical Institute.

4. Ben-Zvi, D. (2004). Reasoning about variability in comparing distributions. Statistics Education Research Journal, 3(2), 42–63. https://www.stat.auckland.ac.nz/~iase/serj/SERJ3(2)_BenZvi.pdf .

5. Biehler, R., Frischemeier, D., & Podworny, S. (2015). Preservice teachers’ reasoning about uncertainty in the context of randomization tests. In A. Zieffler & E. Fry (Eds.), Reasoning about uncertainty: learning and teaching informal inferential reasoning (pp. 129–162). Minneapolis: Catalyst Press.

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