CEVAP:

Normal distribution is one of the most significant and extensively used continuous probability distribution. The major reason for this circumstance is majority of the continuous random variables which are observed through real life applications (social, medical, physical, biological) are normally or approximately normally distributed (bell-shaped) variables. Furthermore, normal distribution provides basis for the statistical inference. Because of its shape, normal distribution occasionally called “bell curve” or also called “Gaussian curve” which was developed by a mathematician Karl Friedrich Gauss. In addition to common properties of distribution functions:

Normal distribution is symetric around the mean.

The probability density function f (x) does not the touch and intersect x axis.