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Answer :
To calculate the probability accurately, we would need more information about the distribution of waiting times or additional statistical parameters.
To determine the probability that Ryan's total waiting time at the bus stop over the course of a term will exceed 14 hours, we would need additional information such as the distribution of Ryan's waiting times, whether the waiting times are independent, and the average waiting time per day.
Assuming that the waiting times are independent and identically distributed, we can use the Central Limit Theorem to approximate the distribution of the total waiting time as a normal distribution. However, without specific information about the waiting time distribution, it is not possible to provide an exact probability.
If we have information about the average waiting time per day and the standard deviation of the waiting times, we could calculate the mean and standard deviation of the total waiting time over the course of a term. From there, we could use the normal distribution to estimate the probability that the total waiting time exceeds 14 hours.
In summary, to calculate the probability accurately, we would need more information about the distribution of waiting times or additional statistical parameters.
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