*Swedge* > Probabilistic
Analysis > Statistical Distributions

You may wish to use a Triangular distribution in some cases, as a rough approximation to a random variable with an unknown distribution.

A Triangular distribution is specified by its minimum, maximum and mean values. It does not have to be symmetric, it can be skewed to the left or right by entering a mean value less than or greater than the average of the minimum and maximum values.

*Triangular
probability density function. Minimum = a, maximum = b, mode = c. For
a symmetric distribution, mean = mode.*

NOTE: for a non-symmetric Triangular distribution, the mean value is not equal to the mode. The mode is the value of the variable at the peak of the Triangular distribution. In general for a Triangular distribution, the mean is given by:

If the distribution is symmetric, then the mean is equal to the mode.

For a left triangular distribution, the mode = minimum, and the mean = (2*minimum + maximum) / 3.

For a right triangular distribution, the mode = maximum, and the mean = (2*maximum + minimum) / 3.