Log-normal distribution

A continuous random variable Z is said to be a standard normal random variable, shown as Z∼N, if its PDF is given by fZ=1√2πexp{−

What Are The Properties Of Normal Distribution? · A normal distribution is symmetrical around the mean · Normal distribution reaches its highest point at the

normalization The Probability Density Function for a Normal X ∼ N is: f X = 1 σ 2 π e − 2 2 σ 2 Notice the x in the exponent of the PDF

normal distribution A Specific Normal curve is described by giving its mean and standard deviation ▫ Density curves are used to illustrate many types of distributions ▫