Statistics has become a greatly helpful scientific field for measuring and analyzing a lot of human measurements and biological processes. The notion of normal distribution and normal histogram with so known bell shape are known from 1840 that are highly used in different subfields of scientific world. Since my major is biomedical informatics, statistics is very helpful for me in studying of statistical genetics for analyzing DNA and protein sequence. Moreover, being admitted into emerging scholar program and doing research related to protein folding analysis and prediction, statistics is the main apparatus through with protein structure prediction is possible. For example Boltzmann principle and Kull-back-Leibler divergence are the basic milestones for estimating discrete probabilities and assembly of data sets for estimating these probabilities. Since it is known from Adolphe Quetelet (1940) hypothesis that most data sets related to normal distribution, it is taken the middle point of estimated probabilities as the most optimal way to describe information related to protein structure prediction as well as other DNA analysis.