To calculate the probability of getting \( k \) successes in a binomial distribution, we can use the binomial probability formula:
\[ P(X = k) = \binom{n}{k} p^k (1 - p)^{n - k} \]
where:
- \( n \) = total number of trials,
- \( k \) = number of successes,
- \( p \) = probability of success on a single trial,
- \( \binom{n}{k} \) = "n choose k" = \( \frac{n!}{k!(n-k)!} \)
Please provide the values for \( n \), \( k \), and \( p \), and I will compute \( P(X = k) \) for you.