Probabilistic analysis typically involves two areas of statistical variability. The first group consists of the uncontrollable uncertainties and tolerances. These include material property variability, manufacturing process limitations, environmental variability, such as temperature, operating processes (misuse) and result scatter arising from deterioration. The second group -- the controllable parameter -- involves design configurations, geometry, loads.

Each distribution type is defined by either mean value (μ) and standard deviation (σ) or distribution parameters.

Discrete types

Continuous types

Further information about distribution types used in optiSLang can be found here.