Overview
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.
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Tuition pattern
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Aims
This topic aims to introduce students to the mathematical development and applications of elementary statistical inference.
Learning outcomes
On completion of this topic you will be expected to be able to:
1.
Examine the conceptual foundations of statistical inference
2.
Develop mathematical arguments and proofs relevant to statistical inference
3.
Solve and investigate applied problems using the techniques of statistical inference
Assessments
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Requisites information
Pre-requisites:
Anti-requisites: