Definition
Probability simulation
A probability simulation repeats a model of a chance process to estimate how often outcomes occur.
Continue from this idea into connected AXIO math.
What it means
Build a model whose outcome chances match the real situation, run it many times, and count what happens. The fraction of trials with an outcome is an estimate, not a promise about the next trial. More trials usually make the long-run pattern steadier.
Remember it
Match the chances. Repeat the trial. Count the outcomes. Estimate.
Example
A spinner has three equal sectors, so blue has probability 1/3. In a 30-spin simulation, blue appears 11 times. The estimate is 11/30, about 0.37—not exactly 1/3, but reasonably close for only 30 trials.
Watch for
Choosing or editing outcomes to make the totals look balanced is not a probability simulation.
Common mix-up
A simulation estimates a long-run pattern; it does not predict the next single outcome.
Exact meaning
A probability simulation is a rule-based model of a chance process. It produces repeated trials whose recorded outcomes are counted to estimate probabilities or long-run relative frequencies.