Mutually Exclusive and Exhaustive Events
Understand Mutually Exclusive and Exhaustive Events for GCSE Statistics with this free worksheet and full mark scheme — Foundation and Higher exam-style questions with worked answers for AQA and Edexcel. Mutually exclusive events cannot happen together; exhaustive events cover all possible outcomes.
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Topic overview
Two events are mutually exclusive if they cannot both happen at the same time. Rolling a 3 and rolling a 5 on a single dice are mutually exclusive, because one roll cannot be both.
For mutually exclusive events, \(P(A \text{ or } B) = P(A) + P(B)\). The probabilities are simply added, because there is no overlap between them.
A set of events is exhaustive if it covers every possible outcome, so one of them must happen. For a set of mutually exclusive and exhaustive events, the probabilities sum to exactly 1. Rolling 1, 2, 3, 4, 5 or 6 on a dice is both mutually exclusive and exhaustive.
Revision notes
Mutually exclusive events
Two events that cannot both happen at the same time.
Rolling a 3 and rolling a 5 on one dice are mutually exclusive. Rolling an even number and rolling a 4 are NOT, because rolling a 4 satisfies both.
Adding probabilities
For mutually exclusive events, \(P(A \text{ or } B) = P(A) + P(B)\).
The probabilities add because there is no overlap. If the events can both happen, simply adding would count the overlap twice and give too large an answer.
Exhaustive events
A set of events is exhaustive if it covers every possible outcome, so one must happen.
For a set that is both mutually exclusive and exhaustive, the probabilities sum to exactly 1. This provides a useful check on any probability calculation.
Key points
- Mutually exclusive events cannot both happen.
- For them, \(P(A \text{ or } B) = P(A) + P(B)\).
- Probabilities add because there is no overlap.
- Exhaustive events cover every outcome.
- Mutually exclusive and exhaustive probabilities sum to 1.
- Check whether events can overlap before adding.
Worked examples
Example 1
A dice is rolled. Work out the probability of getting a 2 or a 5. [2 marks]
Working
Example 2
Explain why rolling an even number and rolling a 4 are not mutually exclusive. [2 marks]
Working
Example 3
Three mutually exclusive and exhaustive events have probabilities 0.3, 0.45 and \(x\). Work out \(x\). [2 marks]
Working
Common mistakes
Adding probabilities of events that overlap.
Only mutually exclusive events can be added directly.
Confusing mutually exclusive with independent.
Mutually exclusive means they cannot both happen; independent means one does not affect the other.
Saying exhaustive means the same as mutually exclusive.
Exhaustive means all outcomes are covered; mutually exclusive means no overlap.
Not checking probabilities sum to 1.
For a mutually exclusive exhaustive set they must.
Exam tips
- Check whether events can overlap before adding.
- Use the sum-to-1 property to find missing probabilities.
- Keep mutually exclusive and independent distinct.
- State which property you are using in your answer.
Key terms
- Mutually exclusive
- Events that cannot both happen.
- Exhaustive
- Covering every possible outcome.
- Overlap
- Outcomes belonging to both events.
- Addition
- Combining probabilities of mutually exclusive events.
Related topics
Written and reviewed against the current AQA and Edexcel specifications. Spotted an error? Let us know.