PERT Calculator (Three-Point Estimate)
Three-point PERT estimate: expected duration (O + 4M + P) ÷ 6, standard deviation, triangular estimate, confidence ranges and the probability of finishing a task or project by a target.
How it works
E = (O + 4M + P) ÷ 6 · σ = (P − O) ÷ 6 · Triangular = (O + M + P) ÷ 3 · P(finish ≤ T) = Φ((T − E) ÷ σ) · For a chain of tasks: E_total = ΣE, σ_total = √(Σσ²)
PERT (Program Evaluation and Review Technique), developed for the US Navy Polaris program in 1958, models each estimate as a beta distribution that leans toward the most likely value. The weighted mean (O + 4M + P) ÷ 6 and the standard deviation (P − O) ÷ 6 feed a normal approximation that gives the chance of meeting a deadline. The PMI PMBOK Guide lists it as the three-point estimating technique; the simpler triangular average (O + M + P) ÷ 3 is shown for comparison.
Worked example
A task estimated at 4 days optimistic, 6 days most likely and 14 days pessimistic has E = (4 + 4 × 6 + 14) ÷ 6 = 7.00 days and σ = (14 − 4) ÷ 6 = 1.67 days. A 9-day target is (9 − 7) ÷ 1.67 = 1.2 standard deviations above the mean, so the chance of finishing within 9 days is 88.49%. The triangular estimate is 8.00 days, and the 95% range is 3.67 – 10.33 days.
Sources: Program evaluation and review technique — overview and formulas · Three-point estimation (PERT and triangular)
Frequently asked questions
What is the PERT formula?
Expected time = (optimistic + 4 × most likely + pessimistic) ÷ 6. The standard deviation is (pessimistic − optimistic) ÷ 6. With O = 4, M = 6 and P = 14, the estimate is 7 days with a 1.67-day standard deviation.
What is the difference between PERT and triangular three-point estimates?
Both use the same three numbers. PERT (beta) weights the most likely value four times, so it stays closer to M; the triangular average (O + M + P) ÷ 3 gives the extremes more weight and is more conservative when the pessimistic estimate is far out.
How do I add PERT estimates for a whole project?
Add the expected times of the tasks on the critical path, and add their variances (σ²), not their standard deviations. The project σ is the square root of the summed variances, which is why a long chain is relatively more predictable than one task.
How do I find the probability of meeting a deadline?
Compute z = (deadline − E) ÷ σ and look it up in the normal distribution. z = 0 is 50%, z = 1 about 84%, z = 2 about 98%. This calculator does the lookup for you.
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This calculator is for educational purposes. Double-check important results before acting on them.