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Simulating data and Monte Carlo simulations
Simulating data is a powerful way to understand statistical analyses and plan experiments. Monte Carlo analysis lets you simulate many data sets, analyze each, and then look at the distribution of parameters (results) of those analyses. This can let you "experiment" with alternative experimental designs via computer before you collect any data. Prism makes it easy, without requiring any programming or scripting.