Given that $P(X)$ is the probability of event $X$, you want to calculate:

$1 - P(X)$

From the previous calculation, we found:

$P(X) = 0.3$

So,

$1 - P(X) = 1 - 0.3 = 0.7$

This result, $1 - P(X)$, is actually the probability of the complementary event, which is the event "not $X$". Hence,

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

Therefore:

$1 - P(X) = 0.7$

Would you like to go into more detail on this? Here are some related questions that might help:

1. What is the relationship between $P(X)$ and $P(\text{not } X)$?
2. How do complementary probabilities work in mutually exclusive events?
3. How would you express the sum of $P(X)$ and $P(\text{not } X)$?
4. If you knew $P(\text{not } X)$ first, how would you find $P(X)$?
5. How do you interpret $1 - P(X)$ in a real-world context?
6. What is the significance of $P(X) + P(\text{not } X) = 1$ in probability theory?
7. Can you explain why $P(\text{not } X) = 1 - P(X)$ must always hold true?
8. How would the calculation change if $P(X)$ was dependent on another event?

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