Removed, because even if the test does yield a Gaussian distribution, you have to know what sort of test was used.
In one dimension, this corresponds to a Gaussian distribution with mean 0 and variance 1.
Gaussian distribution, parameterized by its mean and variance (so here).
You see here we have a normal Gaussian distribution for the animal population.
A simple Gaussian distribution is often used as an adequately accurate model.
Large changes up or down are more likely than what one would calculate using a Gaussian distribution with an estimated standard deviation.
The Gaussian distribution is sometimes informally called the bell curve.
The process at time 1 has the normal-inverse Gaussian distribution described above.
Also, the pump and probe beams used here have Gaussian distribution.