Introduction to Sampling
Introduction to sampling covering population vs sample, sampling methods, advantages, bias types, parameter vs statistic concepts, and sampling applications.
Decision Making Under Risk
Decision making under risk covering expected monetary value, expected opportunity loss, probability distributions, and solved problems with applications.
Introduction to Decision Theory
Introduction to decision theory covering decision alternatives, states of nature, payoffs, decision environments, and decision-making under certainty.
Correlation Analysis
Correlation analysis including scatter diagrams, Pearson’s correlation coefficient, Spearman’s rank correlation, multiple correlation, and probable error with applications.
Regression Analysis
Simple linear regression covering least-squares method, regression equations, coefficient of determination, point estimates, and prediction using regression line.