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Contents Probability Permutation & Combination Probability Probability is a measure of belief about an event that will occur in the future, based on historical data. In other words, the probability of occurrence of a specific target event among the total from past data can be defined as probability. Probability has the following axiom: Probability axiom A value between 0 and 1 $$ 0 \,\le\, P(x) \,\le\, 1$$ The sum of all probability is 1 $$\begin{align}&\sum_{x \in S} P(x) =1\\ & S=\text{all possible spaces} \end{align} $$ A: Event(s) included in S $$A \subset S, P(X \in A) = \sum_{x \in A}P(X=x)$$ The concept of the probability that a particular event will occur in an experiment can be applied and interpreted in many ways. For example, for a forecast that there is a 70% chance of rain tomorrow, you can analyze the data of past climatic conditions and interpret it as a result of 70% rain under conditio...

순열(Permutaion) 경우의 수 주사위 2개를 시행할 경우 발생되는 모든 경우는 다음과 같습니다. event=[] for i in range(1, 7): for j in range(1, 7): event.append((i, j)) print(event, end="") [(1, 1), (1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (2, 1), (2, 2), (2, 3), (2, 4), (2, 5), (2, 6), (3, 1), (3, 2), (3, 3), (3, 4), (3, 5), (3, 6), (4, 1), (4, 2), (4, 3), (4, 4), (4, 5), (4, 6), (5, 1), (5, 2), (5, 3), (5, 4), (5, 5), (5, 6), (6, 1), (6, 2), (6, 3), (6, 4), (6, 5), (6, 6)] (1, 1) (1, 2) (1, 3) (1, 4) (1, 5) (1, 6) (2, 1) (2, 2) (2, 3) (2, 4) (2, 5) (2, 6) (3, 1) (3, 2) (3, 3) (3, 4) (3, 5) (3, 6) (4, 1) (4, 2) (4, 3) (4, 4) (4, 5) (4, 6) (5, 1) (5, 2) (5, 3) (5, 4) (5, 5) (5, 6) (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) ...