Software to detect fraud in consumer phone cards tracks the number of metropolitan areas where calls originate each day. It is found that 4% of the legitimate users originate calls from two or more metropolitan areas in a single day. However, 30% of fraudulent users originate calls from two or more metropolitan areas in a single day. The proportion of fraudulent users is 0.0177%. If the same user originates calls from two or more metropolitan areas in a single day, what is the probability that the user is fraudulent?Show working please
The probability P(E) that the same users originates calls from two or more metropolitan areas in a single day s obtained below:
Let event A is denoted as users legitimate one and the event B is denoted as users fraudulent one.
Event E denotes selecting same users originates calling from the two or more metropolitans.
The proportion of fraudulent users is 0.01% and the probability of legitimate users is 99.99%.
That is, P(A)=0.0001 and P(B)=0.9999.
The probability that the fraudulent users original calls from two or more metropolitan city is 30% and the probability of the legitimate users originate from two or more metropolitan city is 1%. That is, "P(E \\mid A)=0.3" and "P(E \\mid B)=0.01"
The probability the same users originates calls from two or more metropolitan areas in a single day is,
"P(E)=[P(A) P(E \\mid A)]+[P(B) P(E \\mid B)]\\\\\n\n=0.00003+0.00999\\\\\n\n=0.01002"
The probability that the users is fraudulent given that the same users originates calls from two or more metropolitan areas in a single day is,
"\\begin{gathered}\n\nP(A \\mid E)=\\frac{P(A) P(E \\mid A)}{P(A) P(E \\mid A)+P(B) P(E \\mid B)} \\\\\n\n=\\frac{0.0001(0.3)}{(0.0001 \\times 0.3)+(0.9999 \\times 0.01)} \\\\\n\n=\\frac{0.00003}{0.00003+0.009999} \\\\\n\n=0.0029\n\n\\end{gathered}"
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