Tree Diagrams with Conditional Probability (Cambridge International AS Mathematics)
Further Tree Diagrams
What do you mean by further tree diagrams?
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The tree diagrams used here are no more complicated than those in the first Tree Diagrams revision note, however
- questions may use set notation as well, or alongside contextual questions (union), (intersection) , ‘ (complement), | ("given that")
- more detailed use of conditional probability
- three events for each experiment and three experiments could be used

How do I solve conditional probability problems using tree diagrams?
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Interpreting questions in terms of AND (), OR (),complement ( ‘ ) and “given that” ( | )
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Condition probability may now be involved too
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This makes it harder to know where to start and how to complete the probabilities on a tree diagram
- e.g. If given, possibly in words, then event A has already occurred so start by looking for the branch event A in the 1st experiment, and then P(B | A) would be the branch for event B in the 2nd experiment
Similarly, would require starting with event “ ” in the 1stexperiment and event B in the 2nd experiment

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The diagram above gives rise to some probability formulae you will see in Probability Formulae
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Error converting from MathML to accessible text.(“given that”) is the probability on the branch of the 2nd experiment -
However, the “given that” statement
Error converting from MathML to accessible text.is more complicated and a matter of working backwards- from Conditional Probability,
- from the diagram above,
- leading to
- This is quite a complicated looking formula to try to remember so use the logical steps instead – and a clearly labelled tree diagram!
Worked Example The event has a 75% probability of occurring.
The event follows event , and if event has occurred, event has an 80% chance of occurring.
It is also known that .
Find
(i)
(ii)
(iii) the probability that event didn’t occur, given that event didn’t occur.
Answer:
Exam Hint
- Be wary of assuming that “given that” statements will always be referring to something on the second set of branches (2nd experiment), they can work the other way!
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