If A and B are two events of sample space S associated with a random experiment, then occurrence of A provided B has already occurred is called conditional probability. It is denoted by

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Let S = {1, 2, 3, 4, 5, 6} be the sample space associated to a random experiment and A = {1, 3, 5} be an event, then A =__________.

S = {1, 2, 3, 4, 5, 6} be the sample space A = {1, 3, 5} then A = S – A = {1, 2, 3, 4, 5, 6} – {1, 3, 5} i.e A = {2, 4, 6}

Let S = {1, 2, 3, 4, 5, 6} be the sample space associated to a random experiment and A = {1, 3, 5} be an event, then $A$ =__________.

S = {1, 2, 3, 4, 5, 6} be the sample space
A = {1, 3, 5}
then $A$ = S – A
= {1, 2, 3, 4, 5, 6} – {1, 3, 5}
i.e $A$ = {2, 4, 6}