Last updated on June 4th, 2025
Complementary events are the opposite outcomes of a given event, which means an event will occur if and only if the original event does not occur. They are mutually exclusive and together cover all possible outcomes. In this topic, we are going to learn about complementary events and their properties.
A pair of events where one happens if and only if the other event does not happen is called a pair of complementary events. Complementary events are mutually exclusive (cannot happen at the same time) and exhaustive (cover all outcomes).
If we take an event A, its complement A’ or Ac consists of all outcomes that are not in A. An example would be flipping a coin. Here, heads would be Event A and tails would be Event Ac.
To know whether two events are complementary or not, you need to know a few of these properties:
In complementary events, the sum of probabilities is always equal to 1. If the probability of event A is P(A), the probability of event Ac is P(Ac) = 1 - P(A). We call this the probability sum rule.
Mathematically, it is expressed as:
P(A’) = 1 - P(A)
P(A) = 1 - P(A’)
P(A) + P(A’) = 1
These three statements are all equivalent.
Where:
P(A’): is the probability of complementary event A’
P(A): is the Probability of event A
Complementary events are events that occur only if the other event does not occur. Here are a few real-world applications of complementary events.
Students tend to make mistakes when learning about complementary events. Here are some mistakes that students make and ways to avoid them:
If we flip a coin, what is the probability of not getting heads?
P(not heads) = 0.5
Since the probability of getting heads is 0.5, the complement (not getting heads) is: 1 - 0.5 = 0.5.
A six-sided die is rolled. What is the probability of not rolling a 3
P(not rolling a 3) = 5/6
The probability of rolling a 3 is 1/6, so the probability of not rolling a 3 is:
1 - 1/6 = 5/6.
If a student has a 0.85 probability of passing an exam, what is the probability of the student failing?
P(failing) = 0.15
The probability of the student passing is 0.85
So, the probability of a student failing is 1 - 0.85 = 0.15
An online store guarantees that 92% of orders arrive on time. What is the probability of an order being delayed?
P(delayed) = 0.08
Since P(on time) = 0.92 (92/100)
Complement = 1 - 0.92 = 0.08
A machine in a factory has a -.15 probability of breaking down in a month. What is the probability that it does not break down?
P(no breakdown) = 0.85
The probability of breaking down is 0.15
Complement = 1 - 0.15 = 0.85.
Jaipreet Kour Wazir is a data wizard with over 5 years of expertise in simplifying complex data concepts. From crunching numbers to crafting insightful visualizations, she turns raw data into compelling stories. Her journey from analytics to education ref
: She compares datasets to puzzle games—the more you play with them, the clearer the picture becomes!