It appears you have uploaded an image with a probability notation, specifically $P(E^C)$, but it's not clear what values or context are given to solve for it.

In general, $P(E^C)$ refers to the probability of the complement of event $E$, which is calculated as: $P(E^C) = 1 - P(E)$ where $P(E)$ is the probability of event $E$ happening.

To proceed with this, I need either:

1. The probability $P(E)$ for event $E$,
2. Any further context or explanation about the situation, or
3. A numerical problem associated with the notation.

Do you have additional details that can clarify the question, or would you like further help with probability? Let me know!

Also, here are some related questions:

1. What is the relationship between complementary events in probability?
2. How do you calculate the probability of the union of two events?
3. What is the probability of independent events occurring together?
4. How do you calculate the probability of an event given conditional probabilities?
5. How does Bayes' Theorem relate to conditional probabilities?

Tip: When calculating the complement of an event, always remember that the sum of the probability of an event and its complement is 1!