Normal and Log-Normal Probability Density Functions with Identical Mean and Standard Deviation
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This Demonstration compares a log-normal distribution probability density function (PDF) with parameters 
and 
with a normal distribution PDF with parameters 
and 
. Both PDFs have identical mean and standard deviation. Since the log-normal distribution is defined for positive values, it is not possible to have an equivalent normal distribution with negative mean.
Contributed by: Diego M. Oviedo Salcedo (April 2017)
(Universidad Pontificia Bolivariana, Bucaramanga, Colombia)
Open content licensed under CC BY-NC-SA
Snapshots
Details
The PDF of a log-normal distribution variable 
with parameters and is given by
,
where 
denotes the natural logarithm, and and are related to the variable mean and its standard deviation σ according to
,
.
The PDF for a normal distribution random variable with parameters and is given by
.
,
and similarly, the standard deviation squared, 
of 
, is
.
As can be verified using the built-in Mathematica function Expectation, the mean and standard deviation for both the log-normal distribution and normal distribution are and .
Permanent Citation
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