The main goals of descriptive statistics are the systematization and description of data for observation. The tasks that descriptive statistics solve are, first of all, connecting and summarizing data. The goal is to present important information about a product or process in the most concise form of a data system (Bordens & Abbott, 2022). The exploratory analysis allows researchers to understand and organize the data they are working with. This understanding appears due to working with these data, their description, structuring, and generalizing their main characteristics. Various graphs, tables, and diagrams can be used for generalizations and clarity of the information being studied.
The graphical display of data is indispensable in modern science because it allows the visual demonstration of the systematized information. In addition, the graphic image allows scientists to control the reliability of statistical indicators. Presented on the graph makes the existing inaccuracies associated either with observation errors or with the essence of the phenomenon under study more obvious.
Data dissemination of data can be assessed as an essential component of the information aspect of life and a significant threat in today’s world. The spread of data tells us how spread out the values are and how different they are. The level of data dissemination today is relatively high due to modern technologies that instantly transfer any information. The scatter metric shows the summed data so that the scatter of the values and their difference from the mean can be understood.
Pearson’s research led to the fact that he achieved the measurement of a linear relationship between variables. He showed that the ratio always varies between -1 and 1, with the first value showing a negative correlation and the second a positive one (Schober et al. 2018). Thus, scientists invented a method of communication between two variables and their relationships.
References
Bordens, K. & Abbott, B. (2022). Research Design and Methods: A Process Approach, 11th edition. McGraw Hill.
Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: appropriate use and interpretation. Anesthesia & Analgesia, 126(5), 1763-1768. Web.
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