A review of traffic citations in Dayton found that 40% of drivers cited were issued tickets for speeding, 25% were cited for reckless driving, and 10% were cited for both speeding and reckless driving a. Your roommate got a ticket for speeding. What is the probability that s(he) was also ticketed for reckless driving . b. Based on your answer to part a, what can we say about the relationship between speeding and reckless driving
P( speeding ) = 0.4
P( reckless driving ) = 0.25
P( both ) = 0.10
a) Using bayes theorem, given that the ticket was given for speeding, he was also given for reckless driving is computed as:
P( reckless | speeding ) = P( both ) / P( speeding ) = 0.10 / 0.40 = 0.25
Therefore 0.25 is the required probability here.
b) Based on part a) we see that it the 2 variables are not that
highly correlated as the conditional probability is low. We can
also computed another measure:
P( speeding | reckless driving ) = P(both ) / P( reckless ) = 0.1 /
0.25 = 0.4
Again the probability is very low, therefore the 2 variables are very unlikely to happen together.
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