Step 1: Definition:
The expected value of a discrete random variable is the probability-weighted average of its possible values. For a fair die, all six faces have equal probability.
Step 2: Formula:
The expected value \(E[X]\) of a discrete random variable X is:
\[ E[X] = \sum_{i} x_i P(X = x_i) \]where \(x_i\) are the possible values of X and \(P(X = x_i)\) is the probability of each value.
Step 3: Calculation:
For a single throw of a fair die:
Possible outcomes (values of X) are \(\{1, 2, 3, 4, 5, 6\}\).
Each outcome has the same probability:
\[ P(X=1) = P(X=2) = P(X=3) = P(X=4) = P(X=5) = P(X=6) = \frac{1}{6} \]Applying the formula:
\[ E[X] = \left(1 \times \frac{1}{6}\right) + \left(2 \times \frac{1}{6}\right) + \left(3 \times \frac{1}{6}\right) + \left(4 \times \frac{1}{6}\right) + \left(5 \times \frac{1}{6}\right) + \left(6 \times \frac{1}{6}\right) \]Factor out \(\frac{1}{6}\):
\[ E[X] = \frac{1}{6} (1 + 2 + 3 + 4 + 5 + 6) \]The sum is \(1+2+3+4+5+6 = 21\).
\[ E[X] = \frac{1}{6} (21) = \frac{21}{6} \]Simplify:
\[ E[X] = \frac{7}{2} \]
Step 4: Result:
The expected value of X is \(\frac{7}{2}\) or 3.5, which is option (3).