Difficulty: Medium
Correct Answer: 0.84
Explanation:
Introduction / Context:
PERT treats activity durations as random variables and often assumes the project duration on the critical path is approximately normal (by aggregation). Using the mean and variance of critical activities, we can estimate the probability of meeting a target completion time.
Given Data / Assumptions:
Concept / Approach:
Mean project duration on the critical path: mu = sum of means. Variance on the critical path: sigma^2 = sum of variances. Compute Z = (T - mu) / sigma and use the standard normal distribution to obtain the probability.
Step-by-Step Solution:
Compute mean: mu = 3 + 8 + 6 = 17 days.Compute variance: sigma^2 = 1^2 + 2^2 + 2^2 = 1 + 4 + 4 = 9.Compute standard deviation: sigma = sqrt(9) = 3 days.Compute Z-score: Z = (T - mu) / sigma = (20 - 17) / 3 = 1.0.Look up cumulative probability: Phi(1.0) ≈ 0.8413 → approximately 0.84.
Verification / Alternative check:
A normal table or calculator confirms that a Z of 1.0 corresponds to about 84% chance of finishing by the target.
Why Other Options Are Wrong:
0.50 implies T equals the mean (not true); 0.66 and 0.72 correspond to Z near 0.41–0.58; 0.95 corresponds to Z ≈ 1.64, which would require a later target.
Common Pitfalls:
Adding standard deviations instead of variances; forgetting to take the square root; using non-critical activities in the variance; rounding errors that move the probability substantially.
Final Answer:
0.84
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