Maximum number distribution is answered as follows:

Maximum number distribution means to find the maximum value in a set of data and analyze the distribution of that maximum value in the data.

The maximum number distribution can be analyzed in the following ways:

1. Location of the maximum number: The location of the maximum number in the data can reflect the overall trend of the data. If the largest number is located in the middle of the data, the overall distribution of data is more uniform; if the largest number is located at the end of the data, the data as a whole show increasing or decreasing trend.

2, the frequency of the largest number: the largest number of frequency in the data can reflect the importance of the largest number and universality. If the frequency of the largest number of higher, that the value of the data in the more common; if the frequency of the largest number of lower, that the value of the data in the more rare.

3, the largest number of discrete degrees: the largest number of gaps between the data and other data can reflect the degree of discrete data. If the gap between the maximum number and other data is large, indicating that the data is more discrete; if the maximum number of other data with a smaller gap between the data is less discrete.

The analysis of the distribution of the maximum number can help us to understand the overall trend, importance and degree of dispersion of the data, so as to understand and use the data more y.

Expanded Knowledge:

The Minimum Number Distribution is a distribution of the frequency of occurrence of the smallest value in a set of data. It can be used to describe the distribution of the smallest values in a data set and help us understand the overall characteristics of the data.

The minimum number distribution can be calculated by the following steps: the minimum values and the number of occurrences are recorded in a table to form the minimum number distribution.

The minimum number distribution can be used to analyze the concentration trend and the degree of dispersion of the data. If the frequency of the minimum number is high, it means that the values in the data set are small; if the frequency of the minimum number is low, it means that the values in the data set are large.

The minimum number distribution can be used in conjunction with other statistics, such as the median, mean, and standard deviation, to more fully characterize the distribution of data.