Probability trees

Tier: #Foundation #Higher

🔗What you need to know first
How to

A probability tree diagram shows all possible outcomes of two or more events and their probabilities in a structured way.

Rules:

  • Probabilities along each set of branches must sum to 1
  • To find the probability of a combined outcome, multiply along the branches
  • To find the probability of multiple routes giving the same outcome, add those products

Example: A biased coin: $P(H) = 0.6$, $P(T) = 0.4$. Flipped twice. $$P(HH) = 0.6 \times 0.6 = 0.36$$ $$P(\text{exactly one head}) = P(HT) + P(TH) = 0.6 \times 0.4 + 0.4 \times 0.6 = 0.48$$

Memory aid: Multiply along branches, add down the list.

When events are dependent (e.g. without replacement), adjust the probabilities on the second set of branches based on the first outcome.

Common error: adding instead of multiplying along branches, or multiplying all outcomes when you should only add the desired ones.

Questions to practise

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📝Past paper questions
⬆️How you can quickly improve
  • Once you've multiplied along a branch and got the probability, stop — don't apply further operations unless the question specifically asks for a complement.
  • Underline 'at least one' in the question and list every path where the event occurs at least once before adding their probabilities.
  • After completing the tree, check that every pair of branches from the same node adds to exactly 1.
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