The exponential random variable \( X \) with parameter \( \lambda \) has the cumulative distribution function (CDF) given by:
\[ F_X(x) = 1 - e^{-\lambda x} \quad \text{for } x \geq 0 \]
To find the probability that \( X > 5 \), we can use the complementary cumulative distribution function (CCDF), which is given by:
\[ P(X > x) = 1 - P(X \leq x) = 1 - F_X(x) = e^{-\lambda x} \]
For \( x = 5 \), the probability is:
\[ P(X > 5) = e^{-\lambda \cdot 5} = e^{-5\lambda} \]
So, the probability that \( X > 5 \) is:
\[ P(X > 5) = e^{-5\lambda} \]