Concept:
Within the Project Evaluation and Review Technique (PERT) framework, the completion duration of any specific activity is treated as a random variable modeled via a Beta probability distribution. To describe this distribution, three time estimates are collected:
1. Optimistic time ($t_o$ or $a$): Minimum possible timeframe if everything goes perfectly.
2. Most likely time ($t_m$ or $m$): The modal or standard duration expected under typical circumstances.
3. Pessimistic time ($t_p$ or $b$): Maximum duration required if significant obstacles are encountered.
In PERT theory, the standard deviation ($\sigma$) of an activity's duration is estimated by dividing the total practical span of the distribution by 6 standard deviations:
\[
\sigma = \frac{t_p - t_o}{6}
\]
The statistical variance ($\sigma^2$) is the square of this standard deviation:
\[
\text{Variance} = \sigma^2 = \left(\frac{t_p - t_o}{6}\right)^2
\]
Step 1: Isolate variables from the text description.
The problem provides the following parameters:
* Pessimistic completion time, $t_p = 10\text{ days}$
* Optimistic completion time, $t_o = 4\text{ days}$
Step 2: Calculate the standard deviation ($\sigma$).
Substitute our parameters directly into the linear PERT approximation equation:
\[
\sigma = \frac{10 - 4}{6}
\]
\[
\sigma = \frac{6}{6} = 1\text{ day}
\]
Step 3: Calculate the activity variance ($\sigma^2$).
Square the standard deviation value computed in the previous step:
\[
\text{Variance} = \sigma^2 = (1)^2 = 1
\]
The computed variance is exactly $1$, which corresponds to Option (4).