Complementary Events
Either an event happens, or it doesn't - the two sides of probability
The Rule of Complementary Events
The probability of an event A and its complement A' must add up to 1.
If there's a 30% chance of rain, there's a 70% chance of no rain!
Visualising Complementary Events
The complement contains everything in the sample space that is NOT in A.
Key Characteristics
Mutually Exclusive
A and A' cannot happen at the same time. If A occurs, A' cannot occur.
Exhaustive
Together, A and A cover the ENTIRE sample space. No other outcomes exist.
Sum to 1
P(A) + P(A) = 1 - one of them must happen!
Real-World Examples
Weather
P(Rain) = 0.3 P(No Rain) = 1 - 0.3 = 0.7
Passing a Test
P(Pass) = 0.85 P(Fail) = 1 - 0.85 = 0.15
Drawing Cards
P(Heart) = 13/52 = 0.25 P(Not Heart) = 0.75
Interactive: Try It Yourself!
Use these simulators to see the complement rule in action!
Weather Simulator
Set the probability of rain:
Test Simulator
Set the probability of passing:
Card Draw Simulator
Click to draw a random card!
Worked Example
Question: A bag contains 20 marbles: 7 are yellow, and the rest are green. If you pick one marble, what is the probability that it is NOT yellow
Find P(Yellow)
Number of yellow marbles = 7
Total marbles = 20
P(Yellow) = 7/20 = 0.35
Apply Complement Rule
P(Not Yellow) = 1 - P(Yellow)
= 1 - 7/20
Calculate
P(Not Yellow) = (20 - 7)/20
= 13/20 = 0.65
Test Your Knowledge
Question 1: If P(A) = 0.4, what is P(A)
Question 2: Two events are complementary. What must be true about them
Question 3: If P(Pass) = 0.92, what is P(Fail)
Key Takeaways
Key Terms
Exam Focus: Complements
The complement of an event is everything in the sample space that is not part of that event. If the event is "rolling a 6", the complement is rolling 1, 2, 3, 4, or 5. This is why complementary probabilities always add up to 1.
Use the shortcut only when the event and its complement cover the whole sample space with no overlap. Write the rule as P(not A) = 1 - P(A), then substitute carefully. This is useful when the question gives the probability of an event but asks for the probability that it does not happen.