Let A be an event, such that P ( A )

The probability of the complement of event $A$, denoted as $P(\text{not } A)$, is calculated as:

$P(\text{not } A) = 1 - P(A)$

Given that $P(A) = 0.7114$, we can find $P(\text{not } A)$ as follows:

$P(\text{not } A) = 1 - 0.7114 = 0.2886$

Thus, $P(\text{not } A) = 0.29$ (rounded to 2 decimal places).

Would you like more details or have any questions?

Here are 5 related questions:

1. What is the probability of both $A$ and $\text{not A}$ occurring simultaneously?
2. How do you find the probability of the union of two events?
3. What is the probability of at least one of two mutually exclusive events happening?
4. How do independent and dependent events affect their probabilities?
5. Can you explain the difference between theoretical and experimental probability?

Tip: Always remember that the sum of the probabilities of an event and its complement is 1.