What are mutually exclusive events?
Mutually exclusive events are events that cannot happen at the same time, so P(A and B) = 0. Rolling a 2 and rolling a 5 on one roll of a number cube are mutually exclusive. For such events the addition rule is simple: P(A or B) = P(A) + P(B).
Mutually Exclusive Events in a picture
Formal definition and notation
Two events A and B in the same sample space are mutually exclusive, or disjoint, when they share no outcomes: A ∩ B = ∅, so P(A and B) = 0. Then P(A or B) = P(A) + P(B). For events that can overlap, the general addition rule subtracts the overlap: P(A or B) = P(A) + P(B) − P(A and B). Several events are mutually exclusive when every pair of them is. An event and its complement are mutually exclusive and together fill the sample space, so P(A) + P(not A) = 1.
| Symbol | Read it as | Meaning |
|---|---|---|
| P(A or B) | the probability of A or B | the probability that at least one of the events happens; also written P(A ∪ B) |
| A ∩ B = ∅ | A intersect B is the empty set | the events share no outcomes; they are mutually exclusive |
Key facts
- In a Venn diagram, mutually exclusive events are circles that do not overlap.
- Drawing a heart and drawing a king are not mutually exclusive, because the king of hearts is both.
- An event and its complement are always mutually exclusive: rolling an even number and rolling an odd number, with 12 + 12 = 1.
- For or, add (and subtract any overlap). For and with independent events, multiply. Mixing these up is the most common error.
- Mutually exclusive is not the same as independent. If both events have nonzero probability, mutually exclusive events are always dependent: when one happens, the other’s chance drops to 0.
Addition rule for mutually exclusive events
- P(A), P(B)
- the probabilities of two events that cannot happen together
- P(A or B)
- the probability that one or the other happens
If the events can overlap, use the general rule P(A or B) = P(A) + P(B) − P(A and B). For mutually exclusive events the last term is 0, so both rules agree.
Try it: one spin, one color
Each spin lands in exactly one sector, so the four colors are mutually exclusive. Spin 1,000 times, then add the results for red and blue: the total should be close to 1/8 + 2/8 = 3/8.
Mutually Exclusive Events examples, step by step
Example 1: Two faces of a number cube
You roll a number cube once. What is the probability of rolling a 2 or a 5?
- One roll cannot show both 2 and 5, so the events are mutually exclusive.
- P(2) = 16 and P(5) = 16.
- Add: 16 + 16 = 26 = 13.
Answer: P(2 or 5) = 13.
Example 2: Events that overlap
One card is drawn from a standard 52-card deck. What is the probability that it is a heart or a king?
- The king of hearts is both, so these events are not mutually exclusive.
- P(heart) = 1352 and P(king) = 452, and P(both) = 152.
- General addition rule: 1352 + 452 − 152 = 1652 = 413.
Answer: P(heart or king) = 413.
Example 3: One choice per person
At a school, each student gets to school in exactly one way. The probability that a student walks is 0.35, and the probability that a student takes the bus is 0.45. What is the probability that a student walks or takes the bus? What is the probability that a student does neither?
- Each student uses one way only, so walking and taking the bus are mutually exclusive.
- P(walk or bus) = 0.35 + 0.45 = 0.8.
- Neither is the complement: 1 − 0.8 = 0.2.
Answer: P(walk or bus) = 0.8, and P(neither) = 0.2.
Common mistakes
Hearts and kings overlap, so plain adding counts the king of hearts twice. Only mutually exclusive events can be added directly.
Multiplying finds the chance that two things both happen, such as a 2 on one roll and a 5 on the next. Or asks for either one.
Mutually exclusive means cannot happen together. Independent means one does not change the other’s chance. These are different ideas.
Not to be confused with
Independent events can happen together and do not affect each other: heads on a coin and a 6 on a cube, with P = 12 × 16. Mutually exclusive events cannot happen together at all: P(A and B) = 0.
Dependent events change each other’s probabilities, like two draws without replacement. Mutually exclusive events (with nonzero chances) are one extreme kind of dependent events: one happening makes the other impossible.
Complementary events are mutually exclusive and cover every outcome, so their probabilities add to 1, like even and odd on a number cube. Rolling a 2 and rolling a 5 are mutually exclusive but not complementary: 13 ≠ 1.
Quick check: 3 questions
On one roll of a number cube, which pair of events is mutually exclusive?
Answer: C. 3 is odd, so no roll is both a 3 and even. The other pairs share outcomes: 4 and 6 are even and greater than 3, 1 is odd, and 3 and 4 are both less than 5 and more than 2.Show answer and explanation
Events A and B are mutually exclusive, with P(A) = 0.25 and P(B) = 0.4. What is P(A or B)?
Answer: B. Add: 0.25 + 0.4 = 0.65. 0.1 multiplies them, which is the and rule for independent events; 0.15 subtracts; 0.35 is 1 − 0.65, the chance of neither.Show answer and explanation
If A and B are mutually exclusive, what is P(A and B)?
Answer: A. They cannot happen together, so the probability that both happen is 0. P(A) × P(B) is the rule for independent events, and P(A) + P(B) is P(A or B).Show answer and explanation
Mutually Exclusive Events: frequently asked questions
What is the difference between mutually exclusive and independent events?
Mutually exclusive events cannot both happen: one roll cannot be a 2 and a 5. Independent events can both happen, and one does not affect the other: a coin can land heads while a cube shows 5. In fact, two events with nonzero chances cannot be both mutually exclusive and independent, because one happening rules out the other.
What is the formula for mutually exclusive events?
P(A or B) = P(A) + P(B), and P(A and B) = 0. It extends to more events: for one roll, P(1 or 2 or 3) = 16 + 16 + 16 = 12. If you are not sure the events are mutually exclusive, use the general rule and subtract P(A and B).
Are complementary events mutually exclusive?
Yes. An event and its complement, such as rain and no rain tomorrow, can never both happen, so they are mutually exclusive. They also cover every possible outcome, so their probabilities add to exactly 1. That is why P(not A) = 1 − P(A). Not every mutually exclusive pair is complementary, though.
Practice and tools
Sources
- Common Core State Standards, High School Statistics and Probability, Conditional Probability and the Rules of Probability (HSS-CP.A.1, HSS-CP.B.7)
- Common Core State Standards, Grade 7 Statistics and Probability (7.SP.C.8)
- OpenStax, Introductory Statistics 2e, 3.2 Independent and Mutually Exclusive Events
Updated November 2026·Reviewed by the Effortless Math team·Standards: CCSS 7.SP.C.8, CCSS HSS-CP.A.1, CCSS HSS-CP.B.7
Cite this entry
Effortless Math Team. “Mutually Exclusive Events.” Effortless Math Dictionary. Updated November 2026. https://www.effortlessmath.com/math-dictionary/mutually-exclusive-events/
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