Fundamental Statistical Ideas in the School Curriculum and in Training Teachers

Author:

Burrill Gail,Biehler Rolf

Publisher

Springer Netherlands

Reference37 articles.

1. Batanero, C., Burrill, G., Reading, C., & Rossman, A. (Eds.). (2008). Joint ICMI/IASE Study: Teaching Statistics in School Mathematics. Challenges for Teaching and Teacher Education. Proceedings of the ICMI Study 18 and 2008 IASE Round Table Conference. Monterrey, Mexico: International Commission on Mathematical Instruction and International Association for Statistical Education. Online: www.stat.auckland.ac.nz/~iase/publications

2. Batanero, C., Godino, J., & Estepa, A. (1998). Building the meaning of statistical association through data analysis activities. In A. Olivier & K. Newstead (Eds.), Proceedings of the 22nd Conference of the International Group for the Psychology of Mathematics Education (pp. 221–236). Stellenbosch, South Africa: University of Stellenbosch.

3. Biehler, R. (1994). Probabilistic thinking, statistical reasoning, and the search for causes—Do we need a probabilistic revolution after we have taught data analysis? In J. Garfield (Ed.), Research papers from the Fourth International Conference on Teaching Statistics (ICOTS 4) (pp. 20–37). Minneapolis, MN: University of Minnesota.

4. Blum, W., Galbraith, P. L., Henn, H.-W., & Niss, M. (Eds.). (2007). Modelling and applications in mathematics education. The 14th ICMI Study. Berlin: Springer.

5. Borovcnik, M. (2006). Probabilistic and statistical thinking. In M. Bosch (Ed.), Proceedings of the Fourth Congress of the European Society for Research in Mathematics Education (pp. 484–506). Sant Feliu de Guitxols, Spain: European Research in Mathematics Education. Online: ermeweb.free.fr/CERME4/

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