Complements and Mutually Exclusive Events
Many probability questions involve “or” and “not”: the chance of drawing a king or a heart, or of not rolling a six. Two simple rules handle these, as long as you watch for outcomes that get counted twice. Venn diagrams make that easy to see.
Key ideas
Section titled “Key ideas”Complements
Section titled “Complements”The complement of event , written (or ), is everything in the sample space that is not in . Since either happens or it doesn’t:
The complement is often the easy way to find “at least one” probabilities.
Mutually exclusive events
Section titled “Mutually exclusive events”Events are mutually exclusive if they can’t happen at the same time: they share no outcomes. Rolling a and rolling an odd number are mutually exclusive. Drawing a king and drawing a heart are not (the king of hearts is both).
For mutually exclusive events:
The additive principle
Section titled “The additive principle”When events can overlap, adding counts the overlap twice, so subtract it once:
This works for all events. For mutually exclusive events, , which gives the simpler rule.
Venn diagrams
Section titled “Venn diagrams”A Venn diagram shows events as overlapping circles inside a rectangle (the sample space). The overlap is ” and ”; both circles together are ” or ”; outside the circles is “neither”.
Worked examples
Section titled “Worked examples”Example 1: Complements
Section titled “Example 1: Complements”Find on one die, and when three coins are flipped.
Solution.
“At least one head” is the complement of “no heads” (TTT), which has probability :
Example 2: Mutually exclusive events
Section titled “Example 2: Mutually exclusive events”One card is drawn from a standard deck. Find .
Solution. A card can’t be both, so the events are mutually exclusive:
Example 3: Overlapping events
Section titled “Example 3: Overlapping events”One card is drawn. Find .
Solution. The king of hearts is in both events, so subtract it once:
Example 4: Using a Venn diagram
Section titled “Example 4: Using a Venn diagram”In the class above, a student is chosen at random. Find , , and .
Solution.
(Or add the regions: .)
Common mistakes
Section titled “Common mistakes”Adding probabilities of overlapping events. is not : that counts the king of hearts twice.
Confusing “mutually exclusive” with “independent”. Mutually exclusive events can’t happen together. Independent events don’t affect each other (see independent events). They’re different ideas.
Putting the total in the “only” region. In a Venn diagram, if are in band and of them are also in choir, the “band only” region holds .
Forgetting the “neither” region. It’s part of the sample space too.
Practice
Section titled “Practice”1. (Warm-up) If , find .
Solution
2. (Warm-up) Are the events mutually exclusive?
- (a) rolling a ; rolling an odd number
- (b) drawing a red card; drawing a king
- (c) a student being years old; the same student being years old
Solution
(a) Yes. (b) No: the king of hearts and king of diamonds are both. (c) Yes.
3. (Warm-up) and are mutually exclusive, with and . Find .
Solution
4. (Core) A die is rolled. Find .
Solution
Even: . Greater than : . Both: .
5. (Core) , , and . Find . Are and mutually exclusive?
Solution
, so . Since that isn’t , they’re not mutually exclusive.
6. (Core) In a survey of students, play a sport, play an instrument, and do both. Draw a Venn diagram, then find the probability that a randomly chosen student plays a sport or an instrument, plays neither, and plays a sport only.
Solution
Regions: sport only , both , instrument only , neither .
, , .
7. (Core) Two dice are rolled. Find .
Solution
No double adds to (it would need ), so the events are mutually exclusive:
8. (Challenge) Two dice are rolled. Find .
Solution
Sum : , so outcomes. Doubles: outcomes. Both: .
9. (Challenge) Explain why can never be more than , and when the two are equal.
Solution
, and , so subtracting it can only make the total smaller or leave it the same. They’re equal exactly when , which means the events are mutually exclusive.