### Normal Distribution: Definition, Formulas, and Example Problems

Normal Distribution: Definition, Formulas, and Example Problems The normal distribution is one of the discussions in statistics related to the probability distribution (probability distribution). Of course you already know about the distribution of a discrete variable and a continuous variable. This normal distribution is one of the distributions of a continuous variable. In the following, we will describe the normal distribution first. Definition of Normal Distribution What is a normal distribution? Normal distribution is one type of distribution with continuous random variables. In a normal distribution there is a curve/graph that is depicted as a bell shape. The normal distribution is also known as the Gaussian distribution. One of the equations contained in the normal distribution is related to the density function. The following is a density function in a normal distribution. Normal Distribution Formula: $$f(x)=\frac{1}{\sigma \sqrt{2 \pi}}e^{-\frac{1}{2}\left(\fra