This document discusses four common statistical distributions - the z, t, chi-square, and F distributions. The chi-square distribution represents the sum of squared normal random variables and its shape depends on the degrees of freedom. The F distribution is the ratio of two chi-square random variables divided by their degrees of freedom and is used to test hypotheses about variances. Both the chi-square and F distributions are used to conduct statistical tests about variances and evaluate confidence intervals.