This problem follows a binomial distribution because we are dealing with a series of independent trials (each message being delivered or not) with two possible outcomes: success (message delivered) or failure (message not delivered).
In this case:
- The probability of success (a message is delivered) is \( p = \frac{1}{6} \),
- The probability of failure (a message is not delivered) is \( q = 1 - p = \frac{5}{6} \),
- The number of trials (messages sent) is \( n = 6 \),
- We are asked to find the probability of exactly 5 successes (i.e., 5 messages delivered).
Step 1: Apply the binomial distribution formula
The formula for the probability of exactly \( k \) successes in \( n \) trials in a binomial distribution is:
\[
P(X = k) = \binom{n}{k} p^k q^{n-k}
\]
where:
- \( \binom{n}{k} \) is the binomial coefficient, representing the number of ways to choose \( k \) successes out of \( n \) trials,
- \( p^k \) is the probability of \( k \) successes,
- \( q^{n-k} \) is the probability of \( n-k \) failures.
Step 2: Substitute values into the formula
In this case, we are looking for exactly 5 successes (5 messages delivered), so \( k = 5 \), \( n = 6 \), \( p = \frac{1}{6} \), and \( q = \frac{5}{6} \). Substituting these values into the binomial formula:
\[
P(X = 5) = \binom{6}{5} \left( \frac{1}{6} \right)^5 \left( \frac{5}{6} \right)^{6-5}
\]
\[
P(X = 5) = \binom{6}{5} \left( \frac{1}{6} \right)^5 \left( \frac{5}{6} \right)
\]
Step 3: Simplify the expression
The binomial coefficient \( \binom{6}{5} \) is equal to 6 (since choosing 5 successes out of 6 trials is the same as choosing 1 failure out of 6 trials):
\[
P(X = 5) = 6 \left( \frac{1}{6} \right)^5 \left( \frac{5}{6} \right)
\]
\[
P(X = 5) = 6 \times \frac{1}{7776} \times \frac{5}{6}
\]
\[
P(X = 5) = \frac{6 \times 5}{7776 \times 6} = \frac{30}{7776} = \frac{5}{1296}
\]
Thus, the probability that exactly 5 messages are delivered is \( \boxed{\frac{5}{1296}} \).