In addition, the normal distribution is also fundamental in defining the so-called Wiener process, a continuous-time stochastic process consisting of independent increments, each of which is independent and identically normally distributed with and for. For example, normally distributed values are of fundamental importance in applications of the Monte Carlo method. Normal distributions are among the most widely occurring probability distributions and thus have many applications.Random variables that are normally distributed are sometimes called normal variates, and the standard normal distribution may also be referred to as the unit normal distribution.However, it should be noted that other distributions such as CauchyDistribution, StudentTDistribution, and LogisticDistribution also display qualitatively similar "bell" shapes. Informally, a normal distribution may also be referred to as a "bell curve" as a result of the bell-like shape of its PDF.
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