 Continuous simulation thereby simulates the system over time, given differential equations determining the rates of change of state variables.Example of continuous system is "the predator/prey model" or cart-pole balancing 

The random variable X is said to be normally distributed with parameters μ and σ, abbreviated by X ∈ N (μ, σ2), if the density of the random variable is given by the formula 
formula_28
x ∈ R.

Many things actually are normally distributed, or very close to it.For example, height and intelligence are approximately normally distributed; measurement errors also often have a normal distribution.