Mutually Exclusive Events
Events that cannot happen at the same time
The Defining Characteristic
Two events A and B are mutually exclusive if they cannot occur at the same time.
If event A happens, event B cannot happen — and vice versa.
Visualising Mutually Exclusive Events
(No Overlap)
(Overlapping)
Mutually exclusive events have NO overlapping region — the circles never touch.
The Simplified Addition Rule
Because P(A ∩ B) = 0, the general addition rule simplifies to:
Just add the individual probabilities — no subtraction needed!
Real-World Examples
Rolling a Die
Rolling a 2 and rolling a 5 on a single die are mutually exclusive. You cannot roll both numbers at once.
Drawing Cards
Drawing a Heart and drawing a Spade from a deck are mutually exclusive. One card cannot be two suits.
Flipping a Coin
Landing on Heads and landing on Tails are mutually exclusive. The coin cannot show both sides.
Interactive: Marble Draw Game
Click on any marble to draw it from the bag. See how mutually exclusive events work!
Worked Example
Question: A bag contains 10 marbles: 3 red, 2 blue, and 5 green. You pick one marble. Are the events "picking a red marble" (R) and "picking a blue marble" (B) mutually exclusive? What is P(R ∪ B)?
Check for Overlap
Can a single marble be both red and blue? No! Therefore, the events are mutually exclusive.
Calculate P(R)
Number of red marbles = 3
Total marbles = 10
P(R) = 3/10 = 0.3
Calculate P(B)
Number of blue marbles = 2
Total marbles = 10
P(B) = 2/10 = 0.2
Apply Simplified Rule
P(R ∪ B) = P(R) + P(B)
= 0.3 + 0.2 = 0.5 = 1/2
Common Trap!
Mutually Exclusive vs Complementary Events
• Mutually Exclusive: Events that cannot happen together (e.g., picking Red OR Blue) — their probabilities add up to something less than or equal to 1.
• Complementary: Events that are mutually exclusive AND their probabilities add up to 1 (e.g., picking Red OR Not Red).
Not all mutually exclusive events are complementary!
Test Your Knowledge
Question 1: What is P(A ∩ B) for mutually exclusive events?
Question 2: If A and B are mutually exclusive, P(A) = 0.3, P(B) = 0.4, what is P(A ∪ B)?
Question 3: Which of these pairs of events are mutually exclusive?