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PQ220 6234F.Ch 03  13/04/2002  03:19 PM  Page 69






                                                      3-4 MEAN AND VARIANCE OF A DISCRETE RANDOM VARIABLE  69


                 EXAMPLE 3-11      The number of messages sent per hour over a computer network has the following distribution:

                                        x   number of messages  10     11      12     13      14      15
                                        f 1x2                  0.08    0.15   0.30    0.20    0.20   0.07

                                   Determine the mean and standard deviation of the number of messages sent per hour.


                                              E1X2   1010.082 	 1110.152 	  p  	 1510.072   12.5
                                                                                            2
                                                       2
                                                                 2
                                                                                2
                                              V1X2   10 10.082 	 11 10.152 	  p  	 15 10.072   12.5   1.85
                                                      2V1X2   21.85   1.36
                                       The variance of a random variable X can be considered to be the expected value of a specific
                                   function of X, namely, h1X2   1X   2 2 . In general, the expected value of any function h1X2
                                   of a discrete random variable is defined in a similar manner.



                   Expected Value of a
                        Function of a  If X is a discrete random variable with probability mass function  f 1x2,
                     Discrete Random
                            Variable
                                                            E3h1X24    a  xh1x2 f 1x2                 (3-4)
                                                                       x




                 EXAMPLE 3-12      In Example 3-9, X is the number of bits in error in the next four bits transmitted. What is the
                                                                                                2
                                   expected value of the square of the number of bits in error? Now, h1X2   X  . Therefore,
                                                                                      2
                                                                         2
                                                            2
                                                  E3h1X24   0 
 0.6561 	 1 
 0.2916 	 2 
 0.0486
                                                                                      2
                                                                         2
                                                                      	 3 
 0.0036 	 4 
 0.0001   0.52
                                                                           2
                                   In the previous example, the expected value of X  does not equal E1X2  squared. However, in
                                   the special case that h1X2   aX 	 b  for any constants a and b, E3h1X24   aE1X2 	 b.  This
                                   can be shown from the properties of sums in the definition in Equation 3-4.

                 EXERCISES FOR SECTION 3-4

                 3-37. If the range of X is the set {0, 1, 2, 3, 4} and P(X     3-42.  Determine the mean and variance of the random vari-
                 x)   0.2 determine the mean and variance of the random variable.  able in Exercise 3-20.
                 3-38.  Determine the mean and variance of the random vari-  3-43.  Determine the mean and variance of the random vari-
                 able in Exercise 3-13.                          able in Exercise 3-22.
                 3-39.  Determine the mean and variance of the random vari-  3-44.  Determine the mean and variance of the random vari-
                 able in Exercise 3-15.                          able in Exercise 3-23.
                 3-40.  Determine the mean and variance of the random vari-  3-45.  The range of the random variable X is 30, 1, 2, 3, x4,
                 able in Exercise 3-17.                          where x is unknown. If each value is equally likely and the
                 3-41.  Determine the mean and variance of the random vari-  mean of X is 6, determine x.
                 able in Exercise 3-19.
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