This question focuses on using the addition rule for mutually exclusive events.
Confirm that the events cannot occur together before applying the addition rule.
In GCSE probability, one of the most important skills is identifying how events are related before carrying out any calculations. Events are described as mutually exclusive when they cannot happen at the same time. If one event occurs, the other event is guaranteed not to occur.
This idea is particularly useful because it allows us to use a simple and reliable rule when calculating probabilities. When events do not overlap, there is no risk of counting the same outcome twice.
When two events A and B are mutually exclusive, the probability that either A or B occurs is given by:
\[ P(A \text{ or } B) = P(A) + P(B) \]
This formula works because there are no shared outcomes between the events.
A fair six-sided die is rolled once.
A number cannot be both even and odd at the same time, so these events are mutually exclusive. Using the rule above, the probability of rolling an even or an odd number is found by adding the two probabilities.
A bag contains counters of three different colours.
When one counter is selected, it cannot be both red and blue at the same time. Therefore, these events are mutually exclusive, and their probabilities can be added to find the probability of selecting a red or blue counter.
Mutually exclusive events occur frequently in daily life. For example, if a student chooses one of two optional subjects, selecting one automatically excludes the other. In sports, a match can end in a win or a loss, but not both at the same time.
Recognising these situations helps students understand probability as a way of modelling real-life choices and outcomes.
How can I tell if events are mutually exclusive?
Ask whether both events could occur at the same time. If not, they are mutually exclusive.
Is it always correct to add probabilities?
No. You can only add probabilities directly when events do not overlap.
Why is this important at GCSE level?
This topic appears regularly in foundation and higher exam papers and is essential for later probability topics.
Before calculating, classify the events first. Choosing the correct rule often makes the calculation straightforward.
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