Do you think the recruitment monthly salary data has reference value?

In the first quarter, the national average monthly salary was101yuan, and cities in the Yangtze River Delta continued to lead the increase. Average monthly salary in Beijing, the capital 1325 1 yuan. But it should be noted that this figure is only the average, not the median. Therefore, I think the median is more valuable than the average. First of all, the median can better reflect the actual salary level. Different from the average, the median is the middle value arranged according to the salary from low to high, which is not affected by the extreme value in the sample. This means that the median can better reflect the income level of ordinary people in the workplace, rather than being affected by extremely high or low salaries. Secondly, for the distribution of large sample data, the median is more accurate. To give an extreme example, if the CEO of a company earns as much as 1 10,000 yuan a month, while other employees earn only 5,000 yuan a month, then the average monthly salary will be much higher than the actual level. And if we use the median, we will see the actual income level of ordinary employees in this company more clearly. Finally, the median stability is high. If the extreme value in the sample changes, the average value is easily affected and fluctuates greatly, while the change of the median value is relatively small. This means that the median is more suitable for long-term comparison, because they are less likely to be distorted by data emergencies. Of course, the median also has certain limitations. For example, when the sample size is small, the median may not reflect the real situation well. In addition, the median can only reflect some basic trends and characteristics, but a more comprehensive analysis method is needed for complex data phenomena. In the face of recruitment monthly salary statistics, we usually encounter two concepts: average and median. Which index is more suitable? I think the median is more valuable for reference. First of all, the average value is easily influenced by extreme value and cannot reflect the overall salary level well. The median is more stable and can better reflect the salary level of most people. In the recruitment monthly salary data, if there are some high-paying positions or low-paying positions, they will be pulled up or down on average. In this case, the average does not well reflect the salary level of most people. Secondly, the median can better reflect the inequality of income distribution. In the case of uneven income distribution in a country or region, the average is easily affected by the high income of the rich, while the median is not affected by this, which can better reflect the income level of ordinary people. Therefore, the median is more valuable when studying income distribution. Finally, the median has a wider range of applications. For example, in wage negotiations, trade unions often use the median as a reference data, rather than the average. This is because the median can better reflect the actual wage level of ordinary workers and the actual living standard of workers. To sum up, the median is more valuable for the statistics of recruitment monthly salary. Although the average has its advantages, the median is more excellent in reflecting the overall salary level and income distribution. In practical application, we should pay more attention to the index of median to better reflect the actual living standards of ordinary people.