Why is it more convincing to analyze the median monthly salary data than the average?

The recent news about the average monthly salary of 1.0 1.0 1 yuan in the first quarter has aroused many people's attention and related discussions. Personally, when analyzing monthly salary data, the median is more important than the average. The reason for this is that the median means that most people are more meaningful, and it is meaningless to average the highest and lowest monthly salaries with the average. It is more valuable to analyze the data based on the income of most people.

First, the median means the majority, and the reference data of monthly salary is more meaningful. The median monthly salary is the statistical goal. This statistical method corresponds to most people in the workplace. Statistically, the monthly salary data represents the income of most people. Therefore, it is more obvious and valuable to regard such statistical data as monthly average wage data, so it should be followed when counting monthly average wage data. This way and method are used for statistics.

Second, the data of the average maximum and minimum monthly salary is of little significance. If you join this job. If the average salary of everyone in the workplace is regarded as the average monthly salary, it seems reasonable on the surface, but it is meaningless in fact. The reason for this is that this statistical method compares the income of the person with the highest average monthly salary with the income of the person with the lowest monthly salary. Obviously, the results obtained are of little significance, so the value of such statistics is very low.

Third, it is more valuable to use the monthly salary of most people as analysis data. The purpose of statistics is to obtain correlation. The relatively real data of the sample from this perspective, in the specific statistics. It should be based on most people's monthly salary data. As a sample, such statistical data will be more meaningful and the statistical results will be more valuable.