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      <text>35.2.2.4 The complement rule</text>
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      <text><![CDATA[<p> Not surprisingly, the probabilities of an event \(A\) and its complement are related. The probability of the event \(A'\) is easily found from the identity\[\frac{\text{number of outcomes in }A}{\text{total number of outcomes}} + \frac{\text{number of outcomes not in }A}{\text{total number of outcomes}} \equiv 1\]so that \(\text{P}(A) + \text{P}(A') \equiv 1\). </p>
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<h4> Key Point </h4>
<h5> The Complement Rule </h5>
\[\text{P}(A') = 1 - \text{P}(A)\]In words: The probability of the complement of \(A\) occurring is equal to 1 minus the probability of \(A\) occurring.
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