Which is more important, the average monthly salary or the median recruitment?

Average monthly salary of recruitment in the first quarter 1.0 1.0 1 yuan. The news attracted a lot of people's attention. It also caused 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 of them are more meaningful, while the average, the highest monthly salary and the lowest monthly salary are meaningless, and the income of most people is more valuable for analyzing data.

The first median means that for most people, it is more meaningful to use it as a reference data for monthly salary. The statistics of the median monthly salary is based on the median, which is the goal of statistics. This statistical method corresponds to most people in the workplace. After statistics, the monthly salary data represents the income of most people. Therefore, it is obviously more valuable to use statistics such as monthly average wage data. So in the statistics of the average month, this data should be counted according to this method.

Second, the average will be the highest and lowest monthly salary. This data is of little significance. If the average income of everyone in the workplace is regarded as the average monthly salary, it seems reasonable on the surface, but it doesn't mean much in fact. The reason for this is that this statistical method will average the income of the person with the highest monthly salary and the income of the person with the lowest monthly salary, and the result is obviously of little significance. Therefore, the value of this statistical data is very low.

Thirdly, it is more valuable to use the monthly salary of most people as analysis data. The fundamental purpose of statistics is to obtain relatively real data of relevant samples. From this point of view, most people's monthly salary data should be analyzed as samples when doing statistics, so that the statistical data will be more meaningful and the statistical results will have higher value, so the median is more valuable than the average.