Step 1: Recall variance transformation rule.
If each observation is multiplied by a constant \(k\), then the variance is multiplied by \(k^2\). Step 2: Identify given values.
Original variance:
\[
\sigma^2 = 8.
\]
Each observation is multiplied by \(3\), so \(k = 3\). Step 3: Apply transformation rule.
New variance is given by:
\[
\sigma^2_{\text{new}} = k^2 \cdot \sigma^2.
\] Step 4: Substitute values.
\[
\sigma^2_{\text{new}} = 3^2 \times 8.
\]
\[
= 9 \times 8.
\] Step 5: Compute the value.
\[
= 72.
\] Step 6: Interpretation.
Multiplying data by a constant increases the spread of data, hence variance increases by the square of that constant. Step 7: Final conclusion.
Thus, the new variance is 72. Final Answer:
\[
\boxed{72}.
\]