Suppose a and b are two events associated with a random experiment. The probability of union of two events is given by:
Equally likely events are events that have the same theoretical probability of occurring.
If a and b are independent events, the probability of both the events happening together
If a and b are exhaustive events, the probability of union of two events is
Hence
"P(a)(2-P(a))=1"
If "P(a)=0", then "P(b)=P(a)=0" and "P(a\\cup b)=0". False.
Therefore, "P(a) =\\not 0" and
"P(a)=1=P(b)"
"P(a\\cap b)=(1)^2=1"
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