Simulating data from normal distributions and comparing them with real
data sets might also be used as an intermediate step between mathematical model
and reality. As a didactic tool it can serve to improve students’ probabilistic
intuition, to teach them the different steps in the work of modeling (Dantal, 1997),
and to help them discriminate between model and reality. Simulation experiences
and dynamic visualization can contribute, as analyzed by Biehler (1991), to provide
students with a stochastic experience difficult to reach in the real world.