Pre-service teachers’ difficulties in reasoning about sampling variability

Author:

Abu-Ghalyoun OmarORCID

Funder

na

Publisher

Springer Science and Business Media LLC

Subject

Education,General Mathematics

Reference53 articles.

1. Ben-Zvi, D., Gil, E., & Apel, N. (2007). What is hidden beyond the data? Helping young students to reason and argue about some wider universe. In Proceedings of the Fifth International Research Forum on Statistical Reasoning, Thinking, and Literacy (SRTL-5). University of Warwick, UK.

2. Ben-Zvi, D., Makar, K., Garfield, J., & Eds. (2018). International Handbook of Research in Statistics Education. Springer International Handbooks of Education. https://doi.org/10.1007/978-3-319-66195-7

3. Brown, N. J. S., Danish, J. A., Levin, M., & diSessa, A. A. (2015). Competence reconceived: The shared enterprise of knowledge analysis and interaction analysis. In A. A. diSessa, M. Levin, & N. J. S. Brown (Eds.), Knowledge and interaction: A synthetic agenda for the learning sciences. Routledge.

4. Browning, C., Goss, J., & Smith, D. (2014). Statistical knowledge for teaching: Elementary preservice teachers. In K. Makar, B. de Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the 9th International Conference on Teaching Statistics, Flagstaff, AZ, USA. International Statistical Institute.

5. Burgess, T. A. (2011). Teacher knowledge of and for statistical investigations. In C. Batanero, G. Burrill, & C. Reading (Eds.), Teaching statistics in school mathematics–challenges for teaching and teacher education (pp. 259–270). Springer.

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