The correct organization of data is of extreme importance for the analysis in the process of statistical inference, aiming at the elaboration of valid conclusions and generic recommendations on a certain subject under study. The specialized scientific literature describes several procedures for the organization of data in frequency distribution tables. However, it is not often that inaccuracies are made in the use of data organization tools. These inaccuracies have resulted in distorted analyzes and incongruous conclusions. This paper presents a critical analysis of the methods and procedures of data organization described in the literature, specifically the distribution of data in frequency distribution tables and proposes a different approach in the elaboration of class frequency distribution tables. For all variables with predefined categories, these and their respective reference values serve as the body of the table. For the variables that do not have pre-defined categories, the use of Gauss’s normal distribution theory as a criterion for categorization is proposed and justified. The categories generated serve as a table body. It is concluded that the frequency distribution tables can be distinguished into two types, that is, frequency distribution tables of predefined classes or categories and tables of frequency distribution of classes or categories to be defined, thus suggesting their adoption as concept.
Advanced Anti-Jam Indoor Adaptive GNSS Signal Acquisition: Part 1, Normal Distribution--Theory and Simulations