To express the probability of getting more than 9 successes in a binomial distribution with parameters \( n = 50 \) and \( p = 0.7 \) using continuity correction, you first need to recognize that \( X \) is the number of successes.
When using continuity correction, to find \( P(X > 9) \), you can adjust the boundary by 0.5. Since we are looking for more than 9 successes, we actually consider the probability of being greater than 9.5 to account for the continuous nature of the normal approximation.
Thus, the probability notation with continuity correction looks like this:
\[ P(X > 9) \approx P(X > 9.5) \]
This notation states that we are interested in the probability that the number of successes is greater than 9.5, using the continuity correction approach to approximate the binomial distribution with a normal distribution.