Pierre Simon Laplace, Inverse Probability, Central Limit Theorem, Probability, Deep Dives.
a log-normal distribution. X is log-normally distributed if ln(X) is normally distributed. Let’s assume that ln(X) is normally distributed with a mean of 0 and variance of 0.5². Then the log-normal PDF of X looks like this: The PDF of a log-normal X (Image by Author) Let μ be the mean of X. Suppose