bayes therom

it’s like the experimental probability. cause if there are 2 probabilities named A and B, bayes therom is we can find case B when it’s also conclude case A.

Cumulative distribution function (누적 분포 함수)

when there is a random variable X, it is the probability that X will take a value less than or equal to x.

주어진 확률 변수가 특정값보다 작거나 같을 확률을 나타내는 함수.

probability

1. Probability is bigger than zero or zero
2. For the independent cases A and B, A plus B is the union of A and B.
3. There is the probability that is always 1. For example, it is a pen or it is not a pen.