� � � Massachusetts Institute of Technology Department of Electrical Engineering & Computer Science 6.041/6.431: Probabilistic Systems Analysis (Fall 2010) Tutorial 5 October 14/15, 2010 1. Let Q be a rand om variable which is uniformly distributed between 0 and 1. On any given d ay, a particular machine is f unctional with probability Q. Furthermore, given the value of Q, the status of the machine on different days is independent. (a) Find the probability that the machine is functional on a particular day. (b) We are told that the machine was functional on m out of the last n days. Find the conditional PDF of Q. You may use the identity 1 k!(n − k)! p k(1 − p)n−kdp = 0 (n + 1)! 2. Let X be a random variable with PDF fX . Find the PDF of the random variable Y = |X| 1/3, if −2 < x ≤ 1,(a) when fX (x) = 0, otherwise; 2e−2x , if x > 0,(b) when fX (x) = 0, otherwise; (c) for general fX (x). 3. An ambulance travels back and forth, at a constant specific speed v, along a road of length ℓ. We may model the location of the ambulance at any moment in time to be uniformly distributed over the interval (0, ℓ). Also at any moment in time, an accident (not involving the ambulance itself) occurs at a point uniformly distributed on the road; that is, the accident’s distance from one of th e fixed ends of the road is also uniformly distributed over the interval (0, ℓ). Assume the location of the accident and the location of the ambulance are independent. Supposing the ambulance is capable of immediate U-turns, compute the CDF and PDF of the ambulance’s travel time T to the location of the accident. Page 1 of 1MIT OpenCourseWare http://ocw.mit.edu 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability Fall 2010 For information about citing these materials or our Terms of Use, visit:
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