when the signals are symmetric then this signals are gaussian
In statistics, the Gaussian curve, also known as the Normal curve, is symmetrical.
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It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.
a Gaussian or 'normal' distribution
The probability of getting the exact shape of the Gaussian bell shaped curve is 0. And that is true even if you use a billion dice. The curve from repeated throws of one die, or many dice will approximate the Gaussian curve and the approximation will get better as the number of trails increases.However, the Gaussian curve extends to infinity in both direction and there is a very small but non-zero probability associated with these extreme values. You will not get an outcome that is infinite!
If the Z-Score corresponds to the standard deviation, then the distribution is "normal", or Gaussian.
The Gaussian distribution is the same as the normal distribution. Sometimes, "Gaussian" is used as in "Gaussian noise" and "Gaussian process." See related links, Interesting that Gauss did not first derive this distribution. That honor goes to de Moivre in 1773.