4 pts The wait time after a scheduled arrival time in minute
(4 pts) The wait time (after a scheduled arrival time) in minutes for a train to arrive is Uniformly distributed over the interval [0,12]. You observe the wait time for the next 95 trains to arrive. Assume wait times are independent.
Find the probability (to 2 decimal places) that 92 or more of the 95 wait times exceed 1 minute. Please carry answers to at least 6 decimal places in intermediate steps.
Solution
The wait time (after a scheduled arrival time) in minutes for a train to arrive is Uniformly distributed over the interval [0,12]. You observe the wait time for the next 95 trains to arrive. Assume wait times are independent.
Let X: Number of times wait time exceeds 1 minute
So here X will follow binomial with n = 95 and p = 11/12.
Probability mass function of binomial distribution with parameters n and p is given as follows:
P(X = x) = nCx px (1-p)n-x
The probability that 92 or more of the 95 wait times exceed 1 minute = P( X >= 92)
= P(X=92) + P(X=93) + P(X=94) + P(X=95)
= 95C92 (11/12)92 (1-(11/12))95-92 +
95C93 (11/12)93 (1-(11/12))95-93 +
95C94 (11/12)94 (1-(11/12))95-94 +
95C95 (11/12)95 (1-(11/12))95-95
= 0.04 ... (rounded to 2 decimal places)
![(4 pts) The wait time (after a scheduled arrival time) in minutes for a train to arrive is Uniformly distributed over the interval [0,12]. You observe the wait (4 pts) The wait time (after a scheduled arrival time) in minutes for a train to arrive is Uniformly distributed over the interval [0,12]. You observe the wait](/WebImages/1/4-pts-the-wait-time-after-a-scheduled-arrival-time-in-minute-969168-1761495643-0.webp)