This topic examines: point and interval estimation; hypothesis testing and power; linear models and hypotheses; least-squares equations, residual sums of squares, and their derivations in simple applications; statements of required distributional results; analysis of variance tables; computation-based study of multiple regression and factorial experiments; elementary non-parametric statistical inference.
This topic aims to introduce students to the mathematical development and applications of elementary statistical inference.
Timetable details for 2021 are no longer published.