The success of graphic models to visualize conditional probabilities


Authors: 
Bea, W., & Scholz, R. W.
Category: 
Pages: 
10-Jan
Year: 
1994
Publisher: 
Fourth International Conference on Teaching Statistics, July
Place: 
Marrakech, Morocco
Abstract: 

Why is training of conditional probabilities necessary? - Conditional probabilities play an important role within the statistics curriculum and in decision making under uncertainty (Bayesian inference). - People often have problems to use conditional probabilities in the right way (many examples in the literature of cognitive psychology). So it is important that - although there exist a lot of didactical suggestions - there has been no empirical research dealing especially with the improvement of the understanding of conditional probabilities. So we made a first try to close this gap.

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

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