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Monte Carlo Simulation
Define variable distributions and a formula, run thousands of random simulations, and get the mean, standard deviation, P5/P50/P95 percentiles, risk probability and a distribution histogram, with AI risk interpretation.
Step 1: Define Input Variables
Example: Profit = unit price × sales volume − fixed cost − unit variable cost × sales volume
Variables: price (Normal, mean 100, sd 5), qty (Normal, mean 500, sd 50), fixed (Constant, 20000), varcost (Uniform, 30, 40)
Variables: price (Normal, mean 100, sd 5), qty (Normal, mean 500, sd 50), fixed (Constant, 20000), varcost (Uniform, 30, 40)
Step 2: Define the Calculation Formula
Output =
Supports + - * / ( ) and Math functions (e.g. Math.sqrt, Math.max); use the variable names defined above.
Simulation Results
AI Interpretation
About Monte Carlo Simulation
Monte Carlo simulation online: propagate uncertainty from input distributions to output histograms, confidence intervals and out-of-spec probabilities.
Learn more about this tool →
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