# NormalDistribution Class

For both theoretical and practical reasons, the normal distribution is
probably the most important distribution in statistics. For example,

Many classical statistical tests are based on the assumption that the data follow a normal distribution. This assumption should be tested before applying these tests.

In modeling applications, such as linear and non-linear regression, the error term is often assumed to follow a normal distribution with fixed location and scale.

The normal distribution is used to find significance levels in many hypothesis tests and confidence intervals.

The mathematics for this distribution come from http://home.online.no/~pjacklam/notes/invnorm/impl/misra/normsinv.html ...derived from http://www.netlib.org/specfun/erf

**Namespace:**
Highpoint.Sage.Mathematics

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