A large number of differences means that the values are widely distributed and uneven; A small amount of difference means that the values are concentrated neatly and the fluctuation range is small. Therefore, the representativeness of concentration quantity can be reflected by difference quantity. The greater the difference, the smaller the representativeness of the concentrated quantity; The smaller the difference, the more representative the concentration.

Extended data:

The concentration number is easily influenced by extreme data, because the average value is sensitive, and the big or small change of each data will affect the final result. If there is ambiguous data, the number of concentrated quantities cannot be calculated. Centralized quantity is mainly suitable for numerical data, not for quality data.

According to different expression forms, the number of concentrated quantities has different calculation forms and formulas. Among them, concentration average is a special form of weighted average (it is special in that all items are equal). In practical problems, when the weights are not equal, the weighted average should be used when calculating the average concentration. When the weights are equal, the arithmetic mean is used to calculate the average concentration.