An Innovation of Algebric Mathamatical Based Statistical Analysis Model for Complex Number Theory

In general, statistical analysis is an advanced method of evaluating analytical components based on mathematical data. The important parts in statistical analysis are the collecting statistics, organizing and analyzing data. Every part of this process is tested. Statistical techniques are also used in other areas of knowledge. Although it is seen as a field based on statistical predictive functions, its structure and calculation methods are based on probability. It also adds advanced mechanisms to regulate its randomness as its improved methods predict the probability of occurrence. In this paper an algebric mathematical based statistical analysis model was proposed. It is important to sample statistics because a typical sample of people should be selected. Mathematical statistics involves a basic calculation of events. These estimates are used to determine the mean, variance, and skewness of a probability distribution. Statistical data processing is impossible without their sorting, generalization and analysis. Any results should be put in such a format that one can get the most useful information first. If the data is large, then they should be grouped or spread.