Mutually Exclusive Events

Definitionnoun phrase

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).

In Spanish
eventos mutuamente excluyentes
Also called
disjoint events, mutually exclusive, non-overlapping events
Grade level
Statistics
Grade 7Algebra 2StatisticsCCSS 7.SP.C.8CCSS HSS-CP.A.1CCSS HSS-CP.B.7SATACTASVABGEDTEASAP

Mutually Exclusive Events in a picture

Mutually exclusive events compared with overlapping eventsLeft: rolling a 2 and rolling a 5 are two circles with no overlap, so P(2 or 5) = 1/6 + 1/6 = 1/3. Right: hearts (13 cards) and kings (4 cards) overlap in the king of hearts, so P(heart or king) = 13/52 + 4/52 – 1/52 = 4/13.Mutually exclusiveone roll: 1 to 625A: roll 2B: roll 5no overlapP(A or B) = 1/6 + 1/6= 2/6 = 1/3Not mutually exclusiveone card from 521213heartskingsoverlap: king of heartsP = 13/52 + 4/52 − 1/52= 16/52 = 4/13If A and B cannot happen together: P(A and B) = 0P(A or B) = P(A) + P(B)
When the circles do not overlap, just add the probabilities. When they do overlap, the shared outcomes get counted twice, so you must subtract them once.

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

Addition rule for mutually exclusive events
P(A or B) = P(A) + P(B)
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

Interactive

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.

This interactive needs JavaScript. The worked examples below show the same ideas step by step.

Mutually Exclusive Events examples, step by step

Example 1: Two faces of a number cube

Warm-up

You roll a number cube once. What is the probability of rolling a 2 or a 5?

  1. One roll cannot show both 2 and 5, so the events are mutually exclusive.
  2. P(2) = 16 and P(5) = 16.
  3. Add: 16 + 16 = 26 = 13.

Answer: P(2 or 5) = 13.

Example 2: Events that overlap

Core

One card is drawn from a standard 52-card deck. What is the probability that it is a heart or a king?

  1. The king of hearts is both, so these events are not mutually exclusive.
  2. P(heart) = 1352 and P(king) = 452, and P(both) = 152.
  3. General addition rule: 1352 + 452 − 152 = 1652 = 413.

Answer: P(heart or king) = 413.

Example 3: One choice per person

Test-style

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?

  1. Each student uses one way only, so walking and taking the bus are mutually exclusive.
  2. P(walk or bus) = 0.35 + 0.45 = 0.8.
  3. Neither is the complement: 1 − 0.8 = 0.2.

Answer: P(walk or bus) = 0.8, and P(neither) = 0.2.

Common mistakes

✗ MistakeP(heart or king) = 1352 + 452 = 1752.
✓ InsteadSubtract the king of hearts once: 1652 = 413.

Hearts and kings overlap, so plain adding counts the king of hearts twice. Only mutually exclusive events can be added directly.

✗ MistakeFinding P(2 or 5) on one roll as 16 × 16 = 136.
✓ InsteadFor or with mutually exclusive events, add: 16 + 16 = 13.

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.

✗ MistakeCalling two coin flips mutually exclusive because they do not affect each other.
✓ InsteadTwo flips are independent, and both can be heads, so they are not mutually exclusive.

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

Mutually Exclusive Eventsvs.Independent events

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.

Mutually Exclusive Eventsvs.Dependent events

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.

Mutually Exclusive Eventsvs.Complementary events

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

Question 1 of 3

On one roll of a number cube, which pair of events is mutually exclusive?

Show answer and explanation

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.

Question 2 of 3

Events A and B are mutually exclusive, with P(A) = 0.25 and P(B) = 0.4. What is P(A or B)?

Show answer and explanation

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.

Question 3 of 3

If A and B are mutually exclusive, what is P(A and B)?

Show answer and explanation

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).

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

  1. Common Core State Standards, High School Statistics and Probability, Conditional Probability and the Rules of Probability (HSS-CP.A.1, HSS-CP.B.7)
  2. Common Core State Standards, Grade 7 Statistics and Probability (7.SP.C.8)
  3. 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/

Flashcard

TermMutually Exclusive EventsP(A and B) = 0
DefinitionEvents that cannot happen together. One roll: P(2 or 5) = 16 + 16 = 13.
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