Page 82 - Schaum's Outlines - Probability, Random Variables And Random Processes
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CHAP. 21                         RANDOM  VARIABLES



               Consider the function given by



                                                 (0    otherwise
               where k is a constant. Find the value of k such that p(x) can be the pmf of a discrete r.v. X.
               Ans.  k = 6/n2

               It  is  known  that  the  floppy  disks produced  by  company  A  will  be  defective with  probability  0.01. The
               company sells the disks in packages of  10 and  offers a guarantee of  replacement that at most  1 of  the  10
               disks is defective. Find the probability that a package purchased will have to be replaced.
               Ans.  0.004

               Given that X  is a Poisson r.v. and px(0) = 0.0498, compute E(X) and P(X 2 3).
               Ans.  E(X) = 3, P(X 2 3) = 0.5767

               A  digital transmission system has an error probability of   per digit. Find  the probability  of  three or
               more errors in lo6 digits by using the Poisson distribution approximation.

               Ans.  0.08
               Show that the pmf px(x) of a Poisson r.v. X with parameter 1 satisfies the following recursion formula:





               Hint:  Use Eq. (2.40).
               The continuous r.v. X has the pdf
                                                    - x2)   0 < x  < 1
                                                           otherwise
               where k is a constant. Find the value of k and the cdf of X
                                           x10
               Ans.  k  = 6; FX(x) =

               The continuous r.v. X  has the pdf
                                                    - x2)   0 < x < 2
                                                            otherwise
               where k is a constant. Find the value of k and P(X > 1).
                             >
               Ans.  k=j;~(X 1)=
               A r.v. X is defined by the cdf






               (a)  Find the value of k.
               (b)  Find the type of X.
               (c)  Find (i) P(4 < X  I  1); (ii) P($ < X  < 1); and (iii) P(X > 2).
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