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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.
This information is from current details held on the Student Information System. Please report any errors or omissions to the relevant College Office.