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Richa Nandra, Lovely Professional University        Unit 9: Variance of a Random Variable and their Properties




                        Unit 9: Variance of a Random Variable                                     Notes

                                     and their Properties




              CONTENTS
              Objectives
              Introduction

              9.1  Mean and Variance of a Random Variable
                   9.1.1 Moments
              9.2  Summary
              9.3  Keywords
              9.4  Self Assessment

              9.5  Review Questions
              9.6  Further Readings



            Objectives


            After studying this unit, you will be able to:
                Discuss variance of random variable
                Describe the properties random variable

            Introduction

            In last unit you will studied about expected random variable. This unit will provide you variance
            of a random variable.

            9.1 Mean and Variance of a Random Variable

            The mean and variance of a random variable can be  computed in a manner  similar to the
            computation of mean and variance of the variable of a frequency distribution.
            Mean


            If X is a discrete random variable which can take values X , X , ..... X , with respective probabilities
                                                         1  2   n
            as p(X ), p(X ), ...... p(X ), then its mean, also known as the Mathematical Expectation or Expected
                 1    2       n
            Value of X, is given by:
                                                          n
                       E(X) = X p(X ) + X p(X ) + ...... + X p(X )     X p(X ) .
                              1  1    2  2        n  n      i   i
                                                         i 1
                                                         
            The  mean of a  random variable  or its probability distribution  is  often  denoted  by  ,  i.e.,
            E(X) = .





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