Statistical data processing is impossible without their ordering, generalization and analysis. Any results obtained must first be brought in such a way that it is possible to extract the maximum of useful information from them. If the data received is too much, then they need to be grouped or summarized.
So, for grouping, it is necessary to determine the norms in accordance with which the received data will be distributed. In this case, not only the clarity, but also the potential usefulness of the information received will depend on the chosen method. Correctly grouped research results are much more convenient to study and analyze.
Statistical data processing methods can be applied in many areas of human activity. They can be divided into 3 main types:
1) universal methods that can be used without considering the scope;
2) methods for certain areas of activity engaged in the study of real processes or phenomena;
3) methods for researching certain data.
It is clear that the more accurate the method by which statistical data processing is carried out, the more effective will be the analysis of a specific situation. If the first method is applicable to scientific results, the value of which will be evaluated only by general scientific criteria, then the third method is used only to solve certain problems in a particular field.
In addition to general knowledge of the methods by which data is processed, it is also important to know how to better work with the results. Statistical data processing involves the creation of tables or graphs for the visibility of the information received.
At the initial stage, the information can be tabulated. So, for example, the statistical processing of experimental data recorded in a table form allows you to save researchers from additional unnecessary records of indicators, measurement values, additional factors that affect the course of the experiment. In the tables it is convenient to record not only the data of the study or experiment, but also to summarize the intermediate and main results. True, for their proper construction it is necessary to think over the necessary number of rows and columns in advance, write down all the necessary parameters.
The table can be done simply on a piece of paper or immediately enter data into a computer. The second option will allow you to quickly sort the data obtained in the necessary way, find the largest or, conversely, the smallest value, summarize or find the average value for the selected group of results.
Do not forget that if competent statistical data processing requires several tables, then they must be numbered and for each come up with a unique name.
A more visual way to record data are graphs. They visually show the relationship between different values, making it easier to understand the results of the study.
Knowing the basic principles of constructing tables and graphs, you can quickly and efficiently process the received data.