Book:
The Second International Conference on Teaching Statistics, 1986
Editors:
Davidson, R., & Swift, J.
Type:
Category:
Pages:
292-297
Year:
1986
Publisher:
The Second International Committee on Teaching Statistics
Place:
Victoria, B.C.
Abstract:
Conditional probabilities play a central role in the process of inferring about the uncertain world. The formal definition of P ( A / B ) is easy and poses no problems. However, upon careful probing into students' ideas of conditional probabilities, some misconceptions and fallacies are uncovered. In this paper I wish to discuss three issues involving conditional probabilities that I believe require serious consideration and clarification by students and by teachers of probability. These issues are: Interpreting conditionality as causality, problems with defining the conditioning event, and confusion of the inverse.
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