The definition of independence states, that A and B are independent events if and only if P(A and B) = P(A) . P(B)

The definition of independence states, that A and B are independent events if and only if P(A and B) = P(A). P(B)

The definition of independence states, that A and B are independent events if and only if P(A and B) = P(A). P(B)

The definition of independence states, that A and B are independent events if and only if P(A and B) = P(A) . P(B)

The definition of independence states, that A and B are independent events if and only if P(A and B) = P(A) . P(B)

The definition of independence states, that A and B are independent events if and only if P(A and B) = P(A) . P(B)  

A sample space is a set of possible outcomes. An event is a set of outcomes in a sample space. If C is an event, then P(C)is the probability that C occurs.

The probability that C occurs given that D occurs is called conditional probability. It is written as P(C|D)and is given by: \\(P(C|D)=(\\frac{P(C and D)}{P(D)})\\)

For any events C and D, P(C and D)=P(C|D)P(D). The definition of independence states that C and D are independent events if and only if P(Cand)=P(C)P(D).

A sample space is a set of possible outcomes. An event is a set of outcomes in a sample space. If C is an event, then P(C)is the probability that C occurs. The definition of independence states that C and D are independent events if and only if

 P(CandD)=P(C).P(D).

The definition of independence states, that A and B are independent events if and only if P(A and B) = P(A) . P(B)

The definition of independence states, that A and B are independent events if and only if P(A and B) = P(A). P(B)