Aflight out of o'hare airport is often late. the delay time l is distributed uniformly between [0,0]. we assume 0
(a) assume 0 - uniform(0,1). write down a hierarchical model for the delay time. next suppose you observe the delay time of a flight, l = r. compute the posterior density foc(t | m), i. e., the density of the posterior distribution for a given the data we observed..
(b) estimate by computing e(ol = 2).
(c) suppose that you observe the delay of the first flight, which is l = 0.25. the next flight's delay, l', is an independent draw from the same distribution, i' ~ uniform(0,0). given what you observed from the first flight, what is the probability that the second flight will be more than a 0.5 hour delay?