normal(mu : number, sigma : number) 🡒 ranvar, pure function
Returns the normal distribution of mean
mu and standard deviation
sigma argument must be non-negative.
table T = with [| as Mu, as Sigma |] [| 0.1, 0.1 |] [| 1.5, 0.5 |] [| 5.5, 1.5 |] [| 10, 20 |] show table "" a1e4 with T.Mu T.Sigma normal(T.Mu, T.Sigma)
The normal distribution is a continuous distribution, while the ranvar reflects a count distribution. Thus, the ranvar returned by the
normal function is defined as the integrated probality of the normal distribution over each segment $[n, n +1[$ for every integer $n$.
- The Normal distribution.