This question tests whether you can recognise when mutually exclusive events form a complete sample space.
If mutually exclusive events cover all outcomes, the probability is 1.
At GCSE Higher level, probability questions often go beyond simple calculations and instead test whether students understand what probability values represent. One key idea is recognising when a set of events covers the entire sample space. When this happens, the probability of one event or the other occurring is equal to 1.
Two events are mutually exclusive if they cannot occur at the same time. This means there is no overlap between their outcomes. However, mutual exclusivity alone is not enough to conclude that the probability equals 1. Students must also recognise whether the events together include all possible outcomes.
For mutually exclusive events A and B:
\[ P(A \text{ or } B) = P(A) + P(B) \]
If this total equals 1, then the event is certain.
A fair spinner has 8 equal sections. The outcomes are divided into two groups:
These two events are mutually exclusive and together cover every possible outcome on the spinner. Therefore, the probability of landing on a prime or a non-prime number is equal to 1.
A student either passes an exam or does not pass the exam.
These outcomes are mutually exclusive and exhaustive. One of them must happen, so their combined probability is 1.
This type of question tests understanding rather than routine calculation. Students must interpret the meaning of probability values and connect numerical results to logical conclusions about certainty.
Is probability 1 allowed?
Yes. It represents a certain event.
What does probability 0 mean?
An impossible event.
Why do examiners like these questions?
They test conceptual understanding, not just arithmetic.
Always ask yourself whether the events listed account for every possible outcome. If they do, the probability is 1.
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