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Statistics



                      Notes         6.   Suppose (X , X ) have the joint density function
                                                  1  2
                                                               f (x , x ) = 4x  x  if 0 <x , x  < 1
                                                                 1  2    1  2   1  2
                                                                           = 0             otherwise.

                                                   X
                                         Define Z  =   1   and Z  = X  X . Determine the joint density function of (Z , Z )
                                                1  X       2   1  2                                 1  2
                                                     2
                                    7.   Suppose X , .....,  X   are n independent  random variables with  the same  distribution
                                                  1      n
                                              2
                                         N(,  ). Define
                                                                         1  n
                                                                      X    X i
                                                                         n  i 1
                                                                           
                                         X  is called the sample mean. Extending the m.g.f. approach for more than two random
                                                                                  2  
                                         variables, show that  X  has the distribution  N  ,   .
                                                                               
                                                                                 n 
                                    Answers: Self  Assessment


                                    1. density function  2. double exponential distribution 3.  transformation
                                    4. Jacobian  5. Range

                                    5.7 Further Readings




                                     Books      Introductory Probability and Statistical Applications by P.L. Meyer
                                                Introduction to Mathematical Statistics by Hogg and Craig
                                                Fundamentals of Mathematical Statistics by S.C. Gupta and V.K. Kapoor


































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