2. The problem solved by binomial distribution is to repeat experiments independently. "Repetition" means that the probability of each event is equal. The condition in the topic is to carry out n independent repeated experiments, and the probability of success in each experiment is p, and binomial distribution studies the probability of success in these n experiments. When the number of tests is 1, the binomial distribution obeys the 0- 1 distribution.
Extended data:
Solution of expectation and variance of binomial distribution;
According to the definition of binomial distribution, the random variable X is the number of times that event A occurs in n Bernoulli experiments, and the probability that event A occurs in each experiment is p. Therefore, binomial distribution can be decomposed into the sum of n independent (0- 1) random variables with p as the parameter.
Let the random variable X(k)(k= 1, 2,3 ... n) obey the distribution of (0- 1), then x = x (1)+x (2)+x (3)...x (n).
Since X(k) is independent of each other, it is expected that:
Difference:
Baidu Encyclopedia-Binomial Distribution
Baidu Encyclopedia-Hypergeometric Distribution