Sampling distributions. Sample drawing
techniques. Estimation and testing for one or two population characteristics. Maximum
likelihood estimation of parameters. Measures of association. Simple and
multiple regression. Introduction to design of experiments, analysis of
variance; one-way, multiway classifications. Multiple comparisons. Basic
nonparametric procedures. Elementary time series analysis; trends, seasonality,
forecasting. Indexing. Some applications in medicine, science, engineering and
social sciences.