Tree diagrams and conditional probability explained
Draw tree diagrams for independent and dependent events, including picks without replacement, with worked examples and common mistakes.
GCSEHigh SchoolCurriculum fit: GCSE Maths Probability (Foundation and Higher; conditional probability is mainly Higher). US: High School Statistics and Probability (Conditional Probability and the Rules of Probability).
On this page
What is it?
A tree diagram shows all the possible outcomes of two or more events. Each branch is labelled with its probability. To find the probability of a path, multiply along the branches. To find the probability of several paths, add them.
Events are independent if one does not affect the other. They are dependent if the first changes the probabilities of the second, such as picking sweets without replacement.
Key formulas and ideas
- Independent events: P(A and B) = P(A) × P(B).
- Dependent events: P(A and B) = P(A) × P(B given A).
- Add probabilities for 'or' between different paths.
- P(at least one) = 1 − P(none).
Worked examples
Example 1: Without replacement
Question: A bag has 3 red and 2 blue counters. Two are taken without replacement. Find P(both red).
- First red: 3/5.
- Second red, given first red: 2/4.
- Multiply: 3/5 × 2/4 = 6/20 = 3/10.
Answer: 3/10
Example 2: One of each colour
Question: Using the same bag, find P(one red and one blue).
- Red then blue: 3/5 × 2/4 = 6/20.
- Blue then red: 2/5 × 3/4 = 6/20.
- Add: 12/20 = 3/5.
Answer: 3/5
Example 3: At least one
Question: A fair coin is tossed twice. Find P(at least one head).
- P(no heads) = 1/2 × 1/2 = 1/4.
- P(at least one head) = 1 − 1/4 = 3/4.
Answer: 3/4
Common mistakes
- Adding along the branches instead of multiplying.
- Not changing the second set of probabilities when there is no replacement.
- Forgetting to add together all the paths that match.
- Branch probabilities that do not sum to 1.
Practice questions
Frequently asked questions
How can I check a tree diagram?
The branches from each point should add up to 1, and the probabilities of all the final outcomes should add up to 1.
What does 'conditional probability' mean?
The probability of an event given that another event has already happened.
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Reviewed by StudyMorrow editorial review on 5 Nov 2026.