Let A and B be two events defined on a sample space S. If Pr(A)=0.8; Pr(A| B )=0.85 and Pr(A| B^ c )=0.75; determine the probability that neither of the two events occur.
The probability that neither of these events occur is: "P(\\bar{A}\\cap\\bar{B})", We assume that "B^c=\\bar{B}." By definition, we have "P(A|\\bar{B})=\\frac{P(A\\cap \\bar{B})}{P(\\bar{B})}". "P(A|{B})=\\frac{P(A\\cap {B})}{P({B})}". The following formula holds: "P(\\bar{B})=P({A}\\cap \\bar{B})+P({\\bar{A}}\\cap {\\bar{B}})". From the latter we get: "P(\\bar{B})-P({A}\\cap \\bar{B})=P({\\bar{A}}\\cap {\\bar{B}})". "P({A}\\cap \\bar{B})=P(A|\\bar{B})P(\\bar{B})". Thus, we receive that: "P({\\bar{A}}\\cap {\\bar{B}})=P(\\bar{B})(1-P(A|\\bar{B}))=(1-P({B})(1-P(A|\\bar{B}))"."P(A)=P({A}\\cap \\bar{B})+P({{A}}\\cap {{B}})". From formulae for "P(A|\\bar{B})" and "P(A|{B})" we receive: "P(A)=P(A|\\bar{B})(1-P({B}))+P(A|{B})P(B)". From the latter we receive:"P(B)=\\frac{(P(A)-P(A|\\bar{B}))}{P(A|B)-P(A|\\bar{B})}". Thus, we have: "P(B)=\\frac{0.8-0.75}{0.85-0.75}=0.5". Substitute the latter into expression for "P({\\bar{A}}\\cap {\\bar{B}})": "P({\\bar{A}}\\cap {\\bar{B}})=0.5\\cdot0.25=0.125." Thus, the probability, that neither of events occur is: "0.125."
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