The Standard Normal Distribution is a special type of probability distribution that is symmetric and bell-shaped. It has a mean of 0 and a standard deviation of 1. This means that most of the data points cluster around the mean, with fewer points appearing as you move away from it in either direction. In the Standard Normal Distribution, the area under the curve represents the total probability, which equals 1. This distribution is often used in statistics to standardize scores, allowing comparisons between different datasets by converting them into z-scores, which indicate how many standard deviations a value is from the mean.