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220                    Fundamentals of Probability and Statistics for Engineers

           The parameter n is generally referred to as the degrees of freedom. The utility of
           this distribution arises from the fact that a sum of the squares of n independent
           standardized normal random variables has a   2  distribution with n degrees of
           freedom;  that  is,  if  U 1 , U 2 ,...,  and  U n  are  independent  and  distributed  as
           N(0, 1), the sum

                                       2
                                            2
                                 X ˆ U ‡ U ‡     ‡ U  n 2               …7:68†
                                            2
                                       1
           has a   2  distribution with n degrees of freedom. One can verify this statement
                                                        2
           by determining the characteristic function of each U (see Example 5.7, page
                                                        j
           132) and using the method of characteristic functions as discussed in Section 4.5
           for sums of independent random variables.
             Because of this relationship, the   2  distribution is one of our main tools in
           the area of statistical inference and hypothesis testing. These applications are
           detailed in Chapter 10.




                        f (x)
                        X

                      0.8





                      0.6  n = 1





                      0.4

                              n = 2

                      0.2
                                    n = 4

                                             n = 6

                      0.0                                        x
                         0    2     4    6     8   10   12
                  Figure 7.12 The   2  distribution for n ˆ  1, n ˆ  2, n ˆ  4, and n ˆ  6








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