A distribution is the shape data takes. Adjust the parameters, run a simulation, and watch a histogram fill in toward the theoretical curve.
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Why the normal curve matters: the Central Limit Theorem says the average of many random things tends toward normal, regardless of the original shape. That's why means are easier to do inference on than raw values.