Simulation of the central limit theorem. Simulation of the central limit theorem.
Simulation is fun and sometimes useful.
For example it enables you to evaluate the chance a bridge fails in a flood, without having to build the bridge in the first place. One component of simulation is uncertainty, and one way to model uncertainty is through random numbers. The bell shaped or Normal curve. This arises later. If X is uniform then the probability it is lies between 0.1 and 0.3 is 0.2.