The first limit theorem in the history of probability theory belonged to Bernoulli, which was later called the "Law of Large Numbers". Probability theory discusses the law that the arithmetic mean of a sequence of random variables converges to the arithmetic mean of each mathematical expectation of random variables.
In the large number of repetitive occurrences of random events, there is often an almost inevitable law, which is the law of large numbers. In layman's terms, this theorem is that the frequency of random events is similar to its probability by repeating the test many times under the condition of the same test. There is a certain necessity in accident.
The law of large numbers is divided into the law of weak large numbers and the law of strong numbers.