Why do you want to count monthly salary in recruitment?

Recently, the news about the average monthly salary of 1,11 yuan in the first quarter has attracted a lot of people's attention and 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 people are more meaningful, that it is meaningless to average the highest and lowest monthly salaries by the average, and that it is more valuable to use the income of most people as analysis data.

1, the median means the majority, which is more meaningful as the reference data of monthly salary.

The median monthly salary is the statistical target. ..... This statistical method corresponds to most people in the workplace, and the statistical monthly salary data represents the income of most people. It is obviously more valuable to use such statistical data as the "average monthly salary" data. ..... Therefore, when counting the data of "average monthly salary", statistics should be made in this way.

2, the average will average the highest monthly salary and the lowest monthly salary, which is of little significance.

If the average monthly salary is the average value of everyone's income in the workplace, it seems reasonable on the surface, but it doesn't mean much in practice. ..... The reason for saying 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 obviously does not make much sense. ..... So this kind of statistical data is of low value.

3, it is more valuable to use the monthly salary of most people as the analysis data.

the fundamental purpose of statistics is to obtain relatively real data of relevant samples. ..... From this point of view, in the specific statistics, we should take the monthly salary data of most people as samples for analysis, so that the statistical data will be more meaningful and the statistical results will have higher value.