Introduction
In probability, every event has a complementary event - an event that represents all outcomes in which the original event does not occur. Understanding complementary events is vital for solving problems where it’s easier to calculate what doesn’t happen rather than what does.
This pattern helps simplify probability calculations by using the fundamental rule: P(not E) = 1 - P(E).
Pattern: Complementary Events
Pattern
The probability of an event not occurring is equal to one minus the probability of the event occurring.
Formula: P(not E) = 1 - P(E)
Since probabilities always sum to 1, this relationship allows quick calculation of one when the other is known.
Step-by-Step Example
Question
A die is rolled once. Find the probability of not getting a 6.
Solution
-
Step 1: List all possible outcomes
Total possible outcomes on a die = {1, 2, 3, 4, 5, 6} → total = 6. -
Step 2: Identify favourable outcomes
Favourable outcomes for getting a 6 = 1 (only the face ‘6’). -
Step 3: Compute probability of getting a 6
P(getting a 6) = 1 / 6 = 1/6. -
Step 4: Apply complementary rule
P(not getting a 6) = 1 - 1/6 = 5/6. -
Final Answer:
5/6 -
Quick Check:
P(getting 6) + P(not getting 6) = 1/6 + 5/6 = 1 ✅
Quick Variations
1. “At least one” type problems (e.g., P(at least one head) = 1 - P(no heads)).
2. Finding the probability of not drawing a particular card or color.
3. Situations involving “none”, “not happening”, or “failure” outcomes.
Trick to Always Use
- Step 1: Find the probability of the event occurring (P(E)).
- Step 2: Subtract from 1 to get P(not E).
- Step 3: Always verify that P(E) + P(not E) = 1.
Summary
Summary
In the Complementary Events pattern:
- P(not E) = 1 - P(E).
- Use this when it’s easier to find the opposite event.
- Always check total probability = 1 for validation.
- Common in “at least one” and “none” type problems.
