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178    4. Functions of Random Variables and Sampling Distribution

                                 problem using the direct calculation, and then provide an alternative quick
                                 and painless way to solve the same problem by applying a result derived later
                                 in this chapter.
                                    Example 4.1.1 Let us consider a popular game of “hitting the bull’s eye” at
                                 the point of intersection of the horizontal and vertical axes. From a fixed
                                 distance, one aims a dart at the center and with the motion of the wrist, lets it
                                 land on the game board, say at the point with the rectangular coordinates (Z ,
                                                                                                1
                                 Z ). Naturally then, the distance (from the origin) of the point on the game
                                  2
                                 board where the dart lands is         A smaller distance would indicate
                                 better performance of the player. Suppose that Z  and Z  are two indepen-
                                                                                  2
                                                                           1
                                 dent random variables both distributed as N(0, 1). We wish to calculate
                                                 where a > 0, that is the probability that the thrown dart
                                 lands within a distance of    from the aimed target. The joint pdf of (Z , Z )
                                                                                             1
                                                                                                2
                                 would obviously amount to                                    )} with
                                 –∞ < z , z  < ∞. We then go back to the heart of (3.3.20) as we proceed to
                                       1
                                          2
                                 evaluate the double integral,
                                 Let us substitute




                                 which transform a point (z , z ) on the plane in the rectangular coordinates
                                                        1
                                                           2
                                 system to the point (r, θ) on the same plane, but in the polar coordinates
                                 system. Now, the matrix of the first partial derivatives of z  and z  with re-
                                                                                    1
                                                                                          2
                                 spect to θ and r would be





                                 so that its determinant, det(A) = ½. Now, we can rewrite the double integral
                                 from (4.1.1) as









                                    But, later in this chapter (Example 4.3.6), we show that the distribution
                                 of                is indeed      , that is a Chi-square with two degrees of
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