An event and its complement consist of all outcomes in the sample space divided into two mutually exclusive, exhaustive sets: the event occurs or it does not. Given the probability of one, the probability of the complement is found using , with 1 representing certainty, and this relationship is applied across fractions, decimals, percentages, tables, and simple probability models; the complement is not the reciprocal of the original probability.
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A complementary event is the event that something does not happen. The event and its complement include every possible outcome, so their probabilities add to :
Therefore, use:
The probability that it will rain tomorrow is . What is the probability that it will not rain?
Let be the event “it rains.” Then:
The complement, , is “it does not rain.”
Subtract the probability of rain from :
Write as and subtract:
So, the probability that it will not rain is:
Remember, the complement is found by subtracting from —it is not the reciprocal of the original probability.
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