Step 1: Understanding the Concept:
The expectation (or expected value) of a discrete random variable is the probability-weighted average of all its possible values. For an unbiased die, each of the six faces has an equal probability of appearing.
Step 2: Key Formula or Approach:
The formula for 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 occurring.
Step 3: Detailed Explanation:
For a single throw of an unbiased die:
The set of possible outcomes (values of X) is \(\{1, 2, 3, 4, 5, 6\}\).
Since the die is unbiased, the probability of each outcome is the same:
\[ P(X=1) = P(X=2) = P(X=3) = P(X=4) = P(X=5) = P(X=6) = \frac{1}{6} \]
Now, we apply the expectation 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 the common probability \(\frac{1}{6}\):
\[ E[X] = \frac{1}{6} (1 + 2 + 3 + 4 + 5 + 6) \]
The sum of the numbers is \(1+2+3+4+5+6 = 21\).
\[ E[X] = \frac{1}{6} (21) = \frac{21}{6} \]
Simplify the fraction by dividing the numerator and denominator by 3:
\[ E[X] = \frac{7}{2} \]
Step 4: Final Answer:
The expectation of X is \(\frac{7}{2}\) or 3.5. This matches option (3).