Question

Probability density function for gaussian distribution

Answer 1

Answer:

The Normal (Gaussian) Density Function

Whenever a random variable is determined by a sequence of independent random events, the outcome will be a Normal or Gaussian density function. This is demonstrated by the Central Limit Theorem.

Answer 2

Answer:

In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known.