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Some Important Continuous Distributions                         197

             Its corresponding PDF is

                                      "         2  #
                                 x
                           1   Z         …u   m†
                F X …x†ˆ    1=2    exp        2   du;   1 < x < 1;      …7:10†
                        …2 †      1        2
           which cannot be expressed in closed form analytically but can be numerically
           evaluated for any x.
             The pdf and PDF expressed by Equations (7.9) and (7.10), respectively, are
           graphed  in  Figures 7.6(a) and  7.6(b),  respectively,  for  m ˆ  0 and   ˆ  1.  The

                                         f X (x)

                                            0.399











                                                                  x
                     – 4  – 3  – 2  – 1   0    1    2    3    4
                     (a)
                                         F X (x)

                                         1















                                                                  x
                     – 4  – 3  – 2  – 1   0    1    2    3    4
                     (b)


            Figure 7.6  (a) Probability density function, f (x), and (b) probability distribution
                                                X
                            function, F X  (x), of X  for m ˆ  0 and   ˆ  1





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