Calculating Probabilities in Criminal Verdicts: Innocence and Guilt Explained

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The discussion focuses on calculating probabilities related to criminal verdicts of 'guilty', 'not guilty', and 'not proven'. It establishes that 65% of verdicts are 'guilty', with a 5% chance of the accused being innocent in such cases. For 'not guilty' and 'not proven' verdicts, the probabilities of innocence are 90% and 30%, respectively. The first question's solution calculates the overall probability of an accused person being innocent as 28.75%. The second question requires applying Bayes' theorem to find the probability of a guilty verdict given the accused is innocent.
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Homework Statement


A returns three verdicts. ‘guilty’, ‘not guilty’ and
‘not proven’. 65% of the verdicts were ‘guilty’, 25% of the verdicts
were ‘not guilty’ and 10% were ‘not proven’.

When the court’s verdict is ‘guilty’ 5% of the accused/tried are actually innocent. The corresponding probabilities for the verdicts ‘not guilty’ and ‘not proven’ are 0.90 and 0.30, respectively.


(a) What is the probability that an accused person is actually innocent?
(b) What is the probability that an innocent person will be found guilty?


Homework Equations




The Attempt at a Solution


I know how to do Question 1.

accused = 100%
f= innocent
E1=guilty
E2=not guilty
E3=not proven...therfore maximum of 3 events possible
E1, E2, E3=Accused = 100%

Using law of total probability p(f)=p(f|E1)P(E1) + p(f|E2)P(E2)...n times

p(f)=p(f|E1)P(E1) + p(f|E2)P(E2)+ p(f|E2)P(E3)


p(f|E1)=0.05

p(f|E1)=0.9

p(f|E1)=0.3
...all other info is given also

= 0.05 × 0.65 + 0.90 × 0.25 + 0.30 × 0.10
= 0.2875


HOW DO YOU DO Question 2!
 
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