The role of mathematical research is to serve as a tool for building research, analyzing its data and drawing conclusions about it. Many studies lead to a large amount of raw data that needs to be reduced to a minimum so that the same can be easily read and can be used for further analysis. Obviously the science of mathematics cannot be ignored by any research researcher, or who may not have the opportunity to apply mathematical methods to all the details and reorganization. The classification and design of the table, as mentioned earlier, achieves this objective to some extent, but we should gradually move forward and develop specific indicators or measures to summarize the collected / segmented data. It is only after this that we can embrace the process of standardization from small groups (i.e., samples) to individuals. If true, there are two major mathematical areas, namely, descriptive statistics and baseless statistics. Descriptive statistics affect the performance of certain indices from raw data, while unlimited statistics complicate the process of normalization. Unlimited statistics are also known as sample statistics and are mainly affected by two major types of problems: