Type:
Category:
Pages:
6-Jan
Year:
1994
Publisher:
Fourth International Conference on Teaching Statistics, July
Place:
Marrakech, Morocco
Abstract:
This paper is motivated by a concern about the increasingly important role being given to computer-based simulations of random behavior in the teaching and learning of probability and statistics. Many curriculum developments in this area make the implicit assumption that students accept the computer algorithm for generating random outcomes as an appropriate representation of random behavior. This paper will outline some reasons for questioning this assumption, and will indicate a need to investigate how students' mental models of random behavior differ from their understanding of the computer representation of randomness.
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education