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Cauchy distribution
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=== Rotational symmetry === If one stands in front of a line and kicks a ball with at a uniformly distributed random angle towards the line, then the distribution of the point where the ball hits the line is a Cauchy distribution. For example, consider a point at <math>(x_0, \gamma)</math> in the x-y plane, and select a line passing through the point, with its direction (angle with the <math>x</math>-axis) chosen uniformly (between β180Β° and 0Β°) at random. The intersection of the line with the x-axis follows a Cauchy distribution with location <math>x_0</math> and scale <math>\gamma</math>. This definition gives a simple way to sample from the standard Cauchy distribution. Let <math> u </math> be a sample from a uniform distribution from <math>[0,1]</math>, then we can generate a sample, <math>x</math> from the standard Cauchy distribution using <math display="block"> x = \tan\left(\pi(u-\tfrac{1}{2})\right) </math> When <math>U</math> and <math>V</math> are two independent [[normal distribution|normally distributed]] [[random variable]]s with [[expected value]] 0 and [[variance]] 1, then the ratio <math>U/V</math> has the standard Cauchy distribution. More generally, if <math>(U, V)</math> is a rotationally symmetric distribution on the plane, then the ratio <math>U/V</math> has the standard Cauchy distribution.
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