Singapore University of Social Sciences

ANL321 Statistical Methods explores the mathematical foundation of statistical inference and approaches. It begins with an introduction to basic mathematics for statistics, and then, to random variables and probability, the formulation of estimators and their properties, and regression models and their different variations. Students will learn statistical design thinking towards the estimation and identification of causality. They will learn the various pitfalls in regressions and the formulation of appropriate regression solutions to address various business and policy challenges. Students are expected to have mathematical foundations in calculus and should have attained a good grade in an undergraduate Statistics module (e.g., BUS105) as this course assumes fundamental knowledge in Statistics.