Convicting a Defendant: Finding the Optimal Threshold for Conviction Probability

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SUMMARY

The discussion focuses on determining the optimal threshold for conviction probability in a criminal investigation using exponential random variables. For an innocent defendant, the mean (m) is set to 1, while for a guilty defendant, it is set to 2. To ensure a 95% certainty that an innocent person is not convicted, the threshold value (c) must be calculated such that P{X <= c} = 0.95. Subsequently, the probability of convicting a guilty defendant is found by calculating P{X > c} using the determined value of c and the mean of 2.

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[SOLVED] Convicting a Defendant

Homework Statement
Evidence concerning the guilt of a defendant in a criminal investigation can be summarized by the value of an exponential random variable X whose mean m depends on whether the defendant is guilty: If innocent, m = 1; if guilty, m = 2. The deciding judge will rule the defendant guilty if X > c for some c.

(a) If the judge wants to be 95 % certain that an innocent man will not be convicted, what should the value of c be?

(b) Using the value of c in (a), what is the probability that a guilty defendant is convicted?

The attempt at a solution
Concerning (a), is 95 % the probability that an innocent man will not be convicted? In other words, I have to find c such that P{X <= c} = 0.95 right and use m = 1 right?

Concerning (b), all I need to do is find P{X > c} with the c value of (a) and m = 2 right?
 
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Yes to both of your questions.
 
Thanks. I always have trouble interpreting probability questions.
 

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