The normal distribution, also called the Gaussian distribution, is an important family of
continuous probability distributions, applicable in many fields. Each member of the family may be defined by two parameters, location and scale: the
mean ("average", μ) and
variance ("variability", σ2), respectively. The standard normal distribution is the normal distribution with a
mean of zero and a
variance of one (the green curves in the plots to the right).
Carl Friedrich Gauss became associated with this set of distributions when he analyzed astronomical data using them , and defined the equation of its probability density function. It is often called the bell curve because the graph of its
probability density resembles a
bell.
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