Page 39 - Schaum's Outlines - Probability, Random Variables And Random Processes
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PROBABILITY                               [CHAP  1




                  We have
                          P[A n (B u C)] = P[(A n B) u (A n C)]           [Eq. (1.12)1
                                       =P(AnB)+P(AnC)-P(AnBnC)            [Eq.(1.29)]
                                       = P(A)P(B) + P(A)P(C) - P(A)P(B)P(C)   CEq. (1WI
                                       = P(A)P(B) + P(A)P(C) - P(A)P(B n C)   [Eq. (1.50)]
                                       = P(A)[P(B) + P(C) - P(B n C)]
                                       = P(A)P(B u C)                     CE~. (1.2911
              Thus, A and (B u C) are independent.

         1.56.  Consider the experiment of  throwing two fair dice (Prob. 1.31). Let A  be the event that the sum
               of the dice is 7, B be the event that the sum of the dice is 6, and C be the event that the first die is
              4. Show that events A and C are independent, but events B and C are not independent.
                  From Fig. 1-3 (Prob. l.5), we see that





              and
              Now
              and
              Thus, events A and C are independent. But


              Thus, events B and C are not independent.

         1.57.  In the experiment of throwing two fair dice, let A  be the event that the first die is odd, B be the
              event that the second die is odd, and C be the event that the sum is odd. Show that events A, B,
               and C are pairwise independent, but A, B, and C are not independent.
                  From Fig. 1-3 (Prob. 1.5), we see that



              Thus



              which indicates that A, B, and C are pairwise independent.  However, since the sum of  two odd numbers is
              even, (A n B n C) = 0 and
                                        P(A n B n C) = 0 # $ = P(A)P(B)P(C)
              which shows that A, B, and C are not independent.

         1.58.  A system consisting of n separate components is said to be a series system if it functions when all
               n components function (Fig. 1-16). Assume that the components fail independently  and that the
              probability of failure of component  i is pi, i = 1, 2, . . . , n.  Find the probability that the system
              functions.



                                            Fig. 1-16  Series system.
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