# CauchyDistribution Class

The Cauchy distribution is important
as an example of a pathological case. Cauchy distributions look similar
to a normal distribution. However, they have much heavier tails. When
studying hypothesis tests that assume normality, seeing how the tests
perform on data from a Cauchy distribution is a good indicator of how
sensitive the tests are to heavy-tail departures from normality.
Likewise, it is a good check for robust techniques that are designed to
work well under a wide variety of distributional assumptions.

**Namespace:**
Highpoint.Sage.Mathematics

**Assembly:**
Sage4 (in Sage4.dll)