The course discusses transformed
random variables (transformation techniques,
convolution, and moment generating
functions); distributions such as t-distribution,
Chi-square distribution, and F-distribution;
sampling distribution and Estimation theory
such as parametric estimation, interval
estimation, hypothesis testing, and goodness
of fit tests. *Prerequisite:* MAT 325.