There has been a great deal of controversy over the last several years regarding what types of surveillance are appropriate to prevent terrorism. Suppose a particular surveillance system has a 98% chance of correctly identifying a future terrorist and a 99.9% chance of correctly identifying someone who is not a future terrorist. If there are 1,000 future terrorists in a population of 300 million, and one of these 300 million is randomly selected, scrutinized by the system, and identified as a future terrorist, what is the probability that he/she actually is a future terrorist? (Round your answer to six decimal places.)

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Answer:

Given that a person was identified as a future terrorist, there is a 2.8544% probability that he/she actually is a future terrorist.

Step-by-step explanation:

There are 1000 future terrorists in a population of 300,000,000. So the probability that a randomly selected person in this population is a terrorist is:

[tex]P = \frac{1,000}{300,000,000} = 0.000003 = 0.0003%[/tex]

So, we have these following probabilities:

A 99.9997% probability that a randomly chosen person is not a terrorist.

A 0.0003% probability that a randomly chosen person is a terrorist.

A 98% probability that a future terrorist is correctly identified

A 99.9% chance of correctly identifying someone who is not a future terrorist. This also means that there is a 0.01% probability of someone who is not a terrorist being identified as one.

This can be formulated as the following problem:

What is the probability of B happening, knowing that A has happened.

It can be calculated by the following formula

[tex]P = \frac{P(B).P(A/B)}{P(A)}[/tex]

Where P(B) is the probability of B happening, P(A/B) is the probability of A happening knowing that B happened and P(A) is the probability of A happening.

Here we have:

What is the probability that the person is a terrorist, given that she was identified as a terrorist.

P(B) is the probability that the person is a terrorist. So [tex]P(B) = 0.000003[/tex]

P(A/B) is the probability that the person was identified as a terrorist, given that she is a terrorist. The problem states that the system has a 98% chance of correctly identifying a future terrorist, so [tex]P(A/B) = 0.98[/tex]

P(A) is the probability of a person being a identified as a terrorist. So

[tex]P(A) = P_{1} + P_{2}[/tex]

[tex]P_{1}[/tex] is the probability that a person is a terrorist and was identified as one. So:

[tex]P_{1} = 0.000003*0.98 = 0.00000294[/tex]

[tex]P_{1}[/tex] is the probability that a person is not a terrorist and, but was identified as one. So:

[tex]P_{2} = 0.999997*0.0001 = 0.0000999997[/tex]

So

[tex]P(A) = P_{1} + P_{2} = 0.00000294 + 0.0000999997 = 0.000103[/tex]

The answer is:

[tex]P = \frac{P(B).P(A/B)}{P(A)} = \frac{0.000003*0.98}{0.000103} = 0.028544[/tex]

Given that a person was identified as a future terrorist, there is a 2.8544% probability that he/she actually is a future terrorist.