Page 57 - Probability, Random Variables and Random Processes
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CHAP.  21                        RANDOM  VARIABLES



             (b)  If P(H) = p, then P(T) = 1 - p. Since the tosses are independent, we have







       2.3.   An information source generates symbols at random from. a four-letter alphabet  (a, b, c, d} with
             probabilities P(a) = f, P(b) = $,  and  P(c) = P(d) = i. A  coding scheme encodes  these  symbols
             into binary codes as follows:








             Let X be the r.v. denoting the length of the code, that is, the number of binary symbols (bits).
             (a)  What is the range of X?
             (b)  Assuming that the generations of symbols are independent, find the probabilities  P(X = I),
                 P(X = 2), P(X = 3), and P(X > 3).
             (a)  TherangeofXisR,  = {1,2, 3).
             (b)  P(X = 1) = P[{a)]  = P(a) =
                P(X = 2) = P[(b)]  = P(b) = $
                P(X = 3) = P[(c,  d)]  = P(c) + P(d) = $
                P(X > 3) = P(%) = 0


       2.4.   Consider the experiment of throwing a dart onto a circular plate with unit  radius. Let X be the
             r.v.  representing  the  distance  of  the  point  where  the  dart  lands  from  the  origin  of  the  plate.
             Assume  that  the  dart  always  lands  on  the  plate  and  that  the  dart  is  equally  likely  to  land
             anywhere on the plate.
             (a)  What is the range of X?
                                                              1.
             (b)  Find (i) P(X < a) and (ii) P(a < X < b), where a < b I
             (a)  The range of X is R,  = (x: 0 I x < 1).
             (b)  (i)  (X < a) denotes that the point is inside the circle of radius a. Since the dart is equally likely to fall
                    anywhere on the plate, we have (Fig. 2-10)



                (ii)  (a < X < b) denotes the event that  the point  is  inside the annular ring with inner radius  a and
                    outer radius b. Thus, from Fig. 2-10, we have




       DISTRIBUTION FUNCTION
       2.5.   Verify Eq. (2.6).
                Let x,  < x,.  Then (X 5 x,) is a subset of  (X I x,);  that is, (X I x,) c (X I  x,).  Then, by  Eq. (1.27),
             we have
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