Bernoulli distribution is a discrete distribution, which is very practical in probability. There are two possible outcomes, 1 indicates success, and the probability of occurrence is p (0

Detailed explanation of the formula:

P(X = k) X refers to the number of tests, and k represents the number of successful tests. That is to say, what is the probability that one thing is tested n times and just succeeded k times?

Some symbols are written directly in the screenshot, and the screenshot is wrong, which is the k power of p.

For example:

If a person takes the English IELTS test, the probability of passing each test is 1/3. If he took the exam four times in a row, what is the probability of passing it exactly twice?

Directly apply Bernoulli's calculation formula:

? * ? =?

Conclusion:

For experiments satisfying Bernoulli distribution, it is complicated to use classical probability, especially when n and k are large.