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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 bulls 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