Preparation and analysis of the numerical data is an important step in scientific research. This process is required for the appropriate interpretation of the observed characteristics and parameters of the system.
First, the obtained numerical data must be correctly entered in a database or statistical analysis software that can help to organize the data easily. The date needs to be double-checked. For the purpose, the data can be entered the second time while a search for discrepancies can be applied.
Second, a specific statistical approach must be used to analyze the data. This process depends on the nature of the data and parameters that are compared. For example, methods of descriptive statistics can be used to get mean values, the tendency of the variables, their distribution, and frequency. Correlation analysis is another approach that can demonstrate the association and relation between two or more variables although it is important to remember that correlation does not imply causation.
Finally, the statistical significance of the differences must be calculated. The aim of the process is to determine if the effect or correlations are due to certain influences but not due to chance. This step is important for the acceptance or rejection of the research hypothesis.
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