This course introduces the concepts of Bayesian Analysis. Statistical decision-making under conditions of uncertainty is also covered. The chi- square and F-distributions are introduced. Additional topics include analysis of variance, linear correlation, linear regression, contingency tables, time series analysis involving seasonal and cyclic trends, index numbers, and cross-tabulations. (as needed)
MATH 323: Statistics II
Class Program