Probability Complement
1. The problem involves understanding the probabilities of an event $X$ and its complement $\text{not } X$.
2. By definition, the probability of an event $X$ is denoted as $P(X)$, and the probability of the complement event $\text{not } X$ is $P(\text{not } X)$.
3. The key rule is that the sum of the probabilities of an event and its complement is always 1:
$$P(X) + P(\text{not } X) = 1$$
4. From this, we can express one probability in terms of the other:
$$P(\text{not } X) = 1 - P(X)$$
and
$$P(X) = 1 - P(\text{not } X)$$
5. The problem shows a table with outcomes 1 to 10 and asks to fill in $P(X)$ and $P(\text{not } X)$, which are complementary probabilities.
6. Therefore, if you know $P(X)$, you can find $P(\text{not } X)$ by subtracting $P(X)$ from 1, and vice versa.
7. The expression $1 - P(\text{not } X)$ is exactly equal to $P(X)$, which is the probability of event $X$ occurring.
Final answers:
$$P(X) = 1 - P(\text{not } X)$$
$$P(\text{not } X) = 1 - P(X)$$