Calculating Probabilities with a Lie Detector: Engineering Statistics Homework

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SUMMARY

The discussion focuses on calculating probabilities related to a lie detector test, specifically addressing two problems. For part A, the probability of a positive reading from the test is determined to be 52.5% by summing the probabilities of a truthful response (10% of 50%) and a deceptive response (95% of 50%). In part B, the incorrect calculation of the probability that a person did not commit the crime given a negative reading was identified, with the correct approach needing clarification on the inverse probabilities involved.

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  • Understanding of conditional probability
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  • Study Bayes' Theorem for deeper insights into conditional probabilities
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  • Investigate real-world applications of lie detector tests in forensic science
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sisyphus0321
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Homework Statement


A lie detector shows a positive reading 10% of the time given that the person is telling the truth and 95% given the person is lying. Suppose that there is a suspect who is denying the the crime and there is a 50% chance that the person comitted the crime.

A. what is the probability that the test gives a positive reading?

B. A test is randomly taken: What is the probability that the person did not commit the crime given that the test indicates a negative reading.

Homework Equations





The Attempt at a Solution


A. I did a tree diagram and resulted in summing 10% of 50% and 95% of 50% and received a return of 52.5%. Is this acceptable?

B. I did another tree diagram and summed the inverse. 90% of 50% and 5% of 50% and received a return of 47.5%
 
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Hi sisyphus0321! :smile:
sisyphus0321 said:
A. I did a tree diagram and resulted in summing 10% of 50% and 95% of 50% and received a return of 52.5%. Is this acceptable?

Yup! :biggrin:
B. I did another tree diagram and summed the inverse. 90% of 50% and 5% of 50% and received a return of 47.5%

Nope … that's just the probability that the test gives a negative reading.
 

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