Logistic Distribution Random Number Generator

The logisitic distribution resembles the normal distribution in that it is symmetric and has a central peak. Researchers sometimes use the logistic distribution instead of the Guassian distribution because it has a simpler functional form that can be integrated more easily, which allows easier computation of probabilities.

The parameter a gives the center of the distribution, while the parameter b serves as a scaling factor.

a =       b =       N =
Decimal Precision
integer
tenths
hundredths
thousandths
Display
comma separated
vertical


The density function of the logistic distribution with parameters a and b is
The mean, median, mode, variance, and skewness are simple functions of a and b:

mean = a
median = a
mode = a
variance = (π²/3)b²
skewness = 0


© Had2Know 2010

More Random Variable Generators:

Cauchy
Chi
Chi-Squared
Gaussian (Normal)
Gumbel
Laplace
Log-Logistic
Log-Normal
Pareto (Power)
Triangle
Uniform Sum (Continuous)
Uniform Sum (Discrete)
Weibull