Often we use tree diagrams to model conditional probability. This is where there is more than one outcome and they are not independent – in other words the first outcome affects the probability ...

Tree diagrams are a way of showing combinations of two or more events. Each branch is labelled at the end with its outcome and the probability is written alongside the line.

However, when confronted with highly asymmetric problems in which particular acts or events lead to very different possibilities, many analysts prefer decision trees to influence diagrams. In this ...