Normal Distribution
Last updated
Last updated
The Normal distribution is a continuous probability distribution. It is used to model variables that have an expected value and a known standard deviation. Although it can sometimes be useful, it is important to note that a Normal distribution can produce negative values. This behavior is detrimental for modeling the time between events.
The Normal distribution has two parameters:
Parameter 1 is the expected value or mean.
Parameter 2 is the standard deviation.
Parameters 3 & 4 are not used.
The example below shows the probability density function for 3 Normal distributions. Each distribution has a parameter 1 value of 1.0 and a range of parameter 2 values from 0.25 to 1.0.
