5/25/2023 0 Comments Toronto parking tickets![]() The more parking visitors, the more likely those "parking regulation breakers" will come. We can assume that a small percentage of people like to violate the parking rules no matter the time and location. Next, let's obtain the probability of infraction for each time spot. ![]() Each cell is an average of itself and two neighbouring cells. I smoothed the results by averaging each cell's value with its two neighbours. Now we have the probabilities of the joint event P(Inspection And Infraction) for each cell. Then technically, we think the probability of the joint event is 26/52 = 50%. The 60 tickets cover only 26 weeks (26 unique days of the year), meaning for those weeks without any tickets on Friday from 11 am to 12 am, neither there is an infraction nor the inspectors show up at that time. Since each time spot will repeat an average of 52 times in a year, we can use the unique number of days of the year from each time spot divided by 52 as the probability.įor instance, suppose 60 tickets are issued on Friday from 11 am to 12 am. So the total number of tickets is not a good measure for a probability distribution. We assume once the inspectors are on-site, they will find all the infractions. Each cell presents the number of a joint event, meaning someone violates the law and the officer catches that. Each cell indicates how many tickets were issued for that time slot in 2019.
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