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What does the average salary in the recruitment industry mean?
However, the average value also has its limitations and is easily influenced by the abnormal values in the data. If there are some extremely high or low salary data in the data set, the average value may be pulled up or down by these data. At this point, the average value can no longer reflect the real situation of the data set.
Moreover, because the wage distribution may be uneven, it may not necessarily reflect the overall situation on average.
In contrast, the median is not affected by outliers. Median divides the data set into two parts, half of which is larger than the median and the other half is smaller than the median, so it can reflect the center position of the data set. In China's recruitment monthly salary data, the median is also a valuable indicator. It can tell us that about half of people's monthly salary is below the median and the other half is above the median. If you want to know the salary level of a specific position or industry, the median may be more valuable because it will not be affected by abnormal values.
Generally speaking, both the average and the median have reference value, depending on the nature and purpose of the data set we want to know. If you want to know the general trend of recruitment monthly salary in China this quarter, the average value may be more useful; If you want to know the salary level of specific positions or industries, the median may be more useful. When using these data, it is necessary to fully consider the characteristics and limitations of the data in order to analyze and judge more accurately.
Both the median and the average are indicators to describe the trend in a set of data sets, but their calculation methods and manifestations are different, so their reference values are also different. The average value refers to the sum of all values of a set of data divided by the number of data. Take the recruitment monthly salary as an example. The national average recruitment monthly salary is101kloc-0/yuan, which can let us know the income level of the whole population.
The calculation method of the average is greatly influenced by the extreme value, that is, there are some obvious abnormal values in the data set, which will greatly increase or decrease the value of the average, which may lead to some misleading of the average. For example, if a company recruits high-paying jobs and many high-income people in the recruitment monthly salary data, their monthly salary will be much higher than most people, resulting in a high average level, but this does not reflect the real income level of the whole population.
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