The Gaussian Distribution, also known as the normal distribution, is a probability distribution that is symmetric about the mean. It is shaped like a bell curve, where most of the data points cluster around the central peak, and the probabilities taper off equally in both directions. This distribution is commonly used in statistics to represent real-valued random variables whose distributions are not known. In a Gaussian Distribution, about 68% of the data falls within one standard deviation of the mean, while approximately 95% falls within two standard deviations. This property makes it useful for various applications, including statistics, psychology, and natural sciences, where it helps in understanding and predicting outcomes.