The addition rule
of probability says that the probability of occurrence of atleast one of the
two events A and B is given by:
P(AÈB)
= P(A) + P(B) – P(AÇB)
The multiplication
rule of probability says that the probability of simultaneous happening of
two events A and B is given by:
P(AÇB)
= P(A). P(A|B) ;
P(A) ¹ 0 or,
P(BÇA)
= P(B). P(B|A) ; P(B) ¹
0
where P(B|A)
is the conditional probability of happening of B under the condition that A has
happened and P(A|B) is
the conditional probability of happening of A under the condition that B has
happened.
Thus, the addition rule gives the probability of happening
of at least one event out of all the possible events while the multiplication
rule gives the probability of happening of all the events simultaneously.
Independence: Events are said to be independent
of each other if happening of any one of them is not affected by and does not
affect the happening of any one of the others.
If A and B are independent events, then:
P(A|B)
= P(A) and P(B|A) = P(B)
Two events are dependent if the above does not hold.
Multiplication rule for independent events thus becomes:
P(AÇB)
= P(A).P(B)
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