The chi-square distribution is a probability distribution that is widely used in statistics, particularly for hypothesis testing and construction of confidence intervals. It is characterized by its right-skewed shape and is defined by its degrees of freedom, which typically correspond to the number of independent variables or constraints in the model. This distribution is particularly important for tests involving categorical data and variance analysis.
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