The 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 the variable, it will follow a Normal Distribution. It is often used to model data that are positively skewed, such as income levels or stock prices, where values cannot be negative. In a Log-Normal Distribution, most values cluster around a central point, with fewer extreme values on the higher end. This characteristic makes it useful in various fields, including finance, environmental studies, and biology, where phenomena often exhibit multiplicative effects rather than additive ones.