Random sampling is generally divided into several ways. What are their characteristics?

First, draw a ball game.

Second, lottery games.

Third, random sampling.

Supplement:

First, the concept of simple random sampling

Generally speaking, assuming that a population contains n individuals, if a sample is extracted from it one by one, and the probability of each individual being extracted is equal, then such a sampling method is called simple random sampling.

Second, the characteristics of simple random sampling

The characteristics of simple random sampling are: the probability of each sample unit being extracted is equal, and each unit of the sample is completely independent, and there is no certain correlation and exclusion between them.

(1) Simple random sampling requires that the total number of samples n to be sampled is limited.

(2) The number n of simple random samples is less than or equal to the number n of the sample population.

(3) Extract simple random samples from the population one by one.

(4) Simple random sampling is a kind of sampling that cannot be put back.

(5) The probability of each individual being systematically sampled is n/n. ..