Question #208959

f A and B are any two events of a sample space S, then P.A/ D P.A and B/ 􀀀 P.B/.


Expert's answer

a)

P(A∣B)=P(A∩B)P(B)P(A|B)=\dfrac{P(A\cap B)}{P(B)}

=P(A)+P(B)−P(A∪B)P(B)=\dfrac{P(A)+P(B)-P(A\cup B)}{P(B)}

=P(A)+P(B)−(1−P(A‾∩B‾))P(B)=\dfrac{P(A)+P(B)-(1-P(\overline{A}\cap \overline{B}))}{P(B)}

=P(A)+P(B)−1+P(A‾∩B‾)P(B)=\dfrac{P(A)+P(B)-1+P(\overline{A}\cap \overline{B})}{P(B)}

P(A‾∩B‾)≥0P(\overline{A}\cap \overline{B})\geq0

Hence


P(A∣B)≥P(A)+P(B)−1P(B)P(A|B)\geq\dfrac{P(A)+P(B)-1}{P(B)}

The statement is True.


b)


P(A∩B)=P(A)−P(A∩B‾)P(A\cap B)=P(A)-P(A\cap\overline{B})

Then


P(A∩B)=P(A)−P(A‾∩B‾), does not holdP(A\cap B)=P(A)-P(\overline{A}\cap\overline{B}), \text{ does not hold}

The statement is True.


c)


P(A∪B)=1−P(A‾∩B‾)P(A\cup B)=1-P(\overline{A}\cap \overline{B})

If AA and BB are independent, then


P(A‾∩B‾)=P(A‾)P(B‾)P(\overline{A}\cap \overline{B})=P(\overline{A})P(\overline{B})

Hence


P(A∪B)=1−P(A‾∩B‾)=1−P(A‾)P(B‾)P(A\cup B)=1-P(\overline{A}\cap \overline{B})=1-P(\overline{A})P(\overline{B})

The statement P(A‾∩B‾)=P(A‾)P(B‾),P(\overline{A}\cap \overline{B})=P(\overline{A})P(\overline{B}), if AA and BB are independent, is True.


d) Unless AA and BB are mentioned as independent, P(A‾∩B‾)P(\overline{A}\cap \overline{B}) cannot be written as P(A‾)P(B‾).P(\overline{A})P(\overline{B}).

The statement P(A‾∩B‾)=P(A‾)P(B‾),P(\overline{A}\cap \overline{B})=P(\overline{A})P(\overline{B}), if AA and BB are disjoint, is False.



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