Page 29 - Probability, Random Variables and Random Processes
P. 29

CHAP.  11                            PROBABILITY



          *    From the observation, we have
                                             P(dot) = 2P(dash)
            Then, by Eq. (1.39,
                                        P(dot) + P(dash) = 3P(dash) = 1
            Thus,                      P(dash) = 5   and   P(dot) =


      1.30.  The sample space S of a random experiment is given by
                                             S = {a, b,  c, d]
            with probabilities P(a) = 0.2, P(b) = 0.3, P(c) = 0.4, and P(d)  = 0.1. Let A denote the event {a, b),
            and  B the event  {b, c, d). Determine the following probabilities: (a) P(A); (b) P(B); (c) P(A);  (d)
            P(A  u B); and (e) P(A  n B).
               Using Eq. (1.36), we obtain

            (a)  P(A) = P(u) + P(b) = 0.2 + 0.3 = 0.5
            (b)  P(B) = P(b) + P(c) + P(d) = 0.3 + 0.4 + 0.1 = 0.8
            (c)  A = (c, d); P(4 = P(c) + P(d) = 0.4 + 0.1 = 0.5
            (d)  A u B = {a, b,  c, d) = S; P(A u B) = P(S) = 1
            (e)  A  n B=(b};P(A n B)= P(b)=O.3

      1.31.  An  experiment consists of  observing the sum of  the dice when two fair dice are thrown  (Prob.
            1.5). Find (a) the probability that the sum is 7 and (b) the probability that the sum is greater than

               Let rij denote the elementary event (sampling point) consisting of  the following outcome: cij = (i, j),
               where  i  represents the  number appearing  on one die and j represents the number  appearing  on the
               other die. Since the dice are fair, all the outcomes are equally likely. So P(rij)  = &. Let A  denote the
               event that  the sum is  7.  Since the events rij are mutually exclusive and from Fig.  1-3 (Prob. IS), we
               have
                                P(A) = K16 u (25  u (34  u C43  u (52  u (6,)
                                   = p(r16) + P(C25) + p(c34) + P(c421) + p(C52) + p(661)
                                   = 6(&) = 4
               Let B denote the event that the sum is greater than 10. Then from Fig. 1-3, we obtain
                                  P(B) = P(556 u c65 u (66)  = PG6) -1 P(C65) + W66)
                                     = 3(&) =

      1.32.  There are n persons in a room.
            (a)  What is the probability that at least two persons have the same birthday?
            (b)  Calculate this probability for n  = 50.
            (c)  How large need n be for this probability to be greater than 0.5?
            (a)  As  each  person  can  have  his  or  her  birthday  on  any  one  of  365 days  (ignoring the  possibility of
               February  29), there are a total of  (365)" possible outcomes. Let  A be  the event  that  no two persons
               have the same birthday. Then the number of outcomes belonging to A is


               Assuming that each outcome is equally likely, then by Eq. (1.38),
   24   25   26   27   28   29   30   31   32   33   34