A log-normal distribution is a probability distribution of a random variable whose logarithm is normally distributed. This means that if you take the natural logarithm of a log-normally distributed variable, it will yield a normal distribution. Log-normal distributions are often used in various fields to model data that is positively skewed and can’t be negative, such as stock prices or income levels.
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