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Computed results
μ
log-mean
σ
log-std dev
Mean
arithmetic
Median
= geom. mean
Mode
Std dev
Variance
GSD
CV
Error factor
Skewness
Excess kurtosis
Entropy
Percentiles
5%
25%
50%
75%
95%
Display and chart settings

Chart bounds set the x-axis range. The shaded interval and reference line must lie within that range.

Distribution chart
Equations & formulas
Log-space parameters
\(\mu =\)\(\ln\mu_g = \ln\bigl(\mu_a^2/\sqrt{\mu_a^2+\sigma_a^2}\bigr)\)
\(\sigma =\)\(\ln\sigma_g = \sqrt{\ln\bigl(1+\sigma_a^2/\mu_a^2\bigr)}\)
Central tendency
\(\mu_g =\)\(e^\mu\quad\) (geometric mean = median)
\(\mu_a =\)\(e^{\mu+\sigma^2/2}\)
mode \(=\)\(e^{\mu-\sigma^2}\)
Spread
\(\sigma_g =\)\(e^\sigma\)
\(\sigma_a =\)\(\mu_a\sqrt{e^{\sigma^2}-1}\)
\(\mathrm{CV} =\)\(\sqrt{e^{\sigma^2}-1}\)
EF \(=\)\(e^{1.645\,\sigma}\) (central 90% coverage)
Higher moments
skewness \(=\)\(\mathrm{CV}^3+3\,\mathrm{CV}\)
excess kurtosis \(=\)\(\mathrm{CV}^8+6\,\mathrm{CV}^6+15\,\mathrm{CV}^4+16\,\mathrm{CV}^2\)
entropy \(=\)\(\tfrac{1}{2}(1+\ln 2\pi\sigma^2)+\mu\)
Percentile inversion
\(x_p =\)\(\exp\bigl(\mu + \sigma\,\Phi^{-1}(p)\bigr)\)