Probability of an event basedon given variables.

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Discussion Overview

The discussion revolves around determining the probability that an individual is a criminal based on statistical information regarding certain characteristics (mustaches, black hats, sunglasses). The focus is on understanding how to apply probability concepts, particularly in cases where the events may or may not be independent.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents a scenario involving a criminal profiler assessing the probability of an individual being a criminal based on their characteristics.
  • Another participant notes that if the events (characteristics) are not independent, determining the probability becomes complex and may require direct data collection.
  • A question is raised about establishing upper or lower probability limits, suggesting that the individual might have at least an 80% probability of being a criminal based on the sunglasses criterion.
  • Another participant proposes that if the criteria are independent, the probability of being a criminal could be calculated as 1 - prob(at least one does not hold), leading to a figure of 97.6%.

Areas of Agreement / Disagreement

Participants express differing views on the independence of events and how that affects the calculation of probability. There is no consensus on a definitive method to determine the probability, and the discussion remains unresolved regarding the implications of independence.

Contextual Notes

The discussion highlights the complexity of probability calculations when dealing with dependent versus independent events. There are also assumptions about the reliability of the given percentages that are not explicitly addressed.

FrankJ777
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For some time now I've been trying to figure out probably for a problem of the following form.

Say a criminal profiler is trying to determine the probability that someone is a criminal based on statistical information.

60% of people who have mustaches are criminals.
70% of people who wear black hats are criminals.
80% of people who wear sunglasses are criminals.

If the profiler is profiling an individual who wears sunglasses, a black hat, and has a mustache; how would she determine the probability that this individual is a criminal?

By the way, this is not a homework problem, I'm just trying to understand how to apply probability better.
Thanks a lot.
 
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FrankJ777 said:
For some time now I've been trying to figure out probably for a problem of the following form.

Say a criminal profiler is trying to determine the probability that someone is a criminal based on statistical information.

60% of people who have mustaches are criminals.
70% of people who wear black hats are criminals.
80% of people who wear sunglasses are criminals.

If the profiler is profiling an individual who wears sunglasses, a black hat, and has a mustache; how would she determine the probability that this individual is a criminal?

By the way, this is not a homework problem, I'm just trying to understand how to apply probability better.
Thanks a lot.

The events may or may not be independent. If they aren't independent, then there is no answer other than collecting data and measuring it directly.
 
Could one at least establish an upper or lower probability limit? Would the individual in the example have at least a 80% probability of being a criminal based on the criteria that 80% of people who wear sunglasses are criminals? On the other would the probability of the individual being a criminal be at least 60% based on the "fact" that 60% of people with mustaches are criminals?
 
80% would be lower limit.
If the criteria are independent, then the probability of being a criminal is
1 - prob(at least one does not hold) = 1 - .4x.3x.2 = 97.6%.
 

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