The Chi-Squared Distribution is a statistical distribution commonly used in hypothesis testing and confidence interval estimation. It is defined by its degrees of freedom, which typically correspond to the number of independent variables in a dataset. This distribution is particularly useful for assessing how well observed data fit a theoretical model. In practical applications, the Chi-Squared Test utilizes this distribution to determine if there is a significant difference between expected and observed frequencies in categorical data. It helps researchers evaluate the goodness of fit and independence in contingency tables, making it a vital tool in fields like social sciences and biostatistics.