Concept:
Repeated independent trials with fixed success probabilities follow a Binomial Distribution. The variance of a binomial distribution is given by the formula:
\[
\text{Variance} = n p q
\]
where \( n \) is the number of trials, \( p \) is the probability of success, and \( q = 1 - p \) is the probability of failure.
Step 1: Determining single-trial parameters.
A standard fair die has 6 outcomes: \( \{1, 2, 3, 4, 5, 6\} \).
Success is defined as rolling a number strictly greater than 4, which includes only \( \{5, 6\} \) (2 outcomes).
\[
p = \frac{2}{6} = \frac{1}{3}
\]
The probability of failure \( q \) is:
\[
q = 1 - p = 1 - \frac{1}{3} = \frac{2}{3}
\]
Step 2: Calculating the variance for the given number of trials.
The die is thrown twice, so the number of trials is \( n = 2 \).
\[
\text{Variance} = n p q = 2 \times \frac{1}{3} \times \frac{2}{3} = \frac{4}{9}
\]