The Chi-Square Distribution is a probability distribution that is widely used in inferential statistics, particularly in hypothesis testing and constructing confidence intervals for variance in normally distributed data. It is characterized by its degrees of freedom, which determine its shape and are typically derived from the number of independent random variables being summed, each of which is squared and follows a standard normal distribution.