Suppose you have a random variable, X, with any distribution. Suppose you take a sample of n independent observations, X1, X2, ... Xn and calculate their mean. Repeat this process several times. Then as the sample size increases and the number of repeats increases, the distribution of the means tends towards a normal distribution. This is due to the Central Limit Theorem.
One consequence is that many common statistical measures have an approximately normal distribution.
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It may not be better, but there is a lot of information on the normal distribution. It is one of the most widely used in statistics.
Making a product widely available..... Opposite to selective distribution.....associated with market penetration
The Gaussian distribution is the single most important distribution.
How widely spread out, or tightly concentrated about the mean it is.
Exponential DistributionThe exponential distribution is a very commonly used distribution in reliability engineering. Due to its simplicity, it has been widely employed even in cases to which it does not apply. The exponential distribution is used to describe units that have a constant failure rate.