3 x 1-hour lectures weekly 1 x 1-hour tutorial weekly
Enrolment not permitted
1 of STAT3701, STAT9701 has been successfully completed
Knowledge of the principles of the theory of probability and applied probability modelling such as would be obtained in the topic STAT2702 Probability.
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 introduces students to the mathematical development and applications of elementary statistical inference.
Expected learning outcomes
At the completion of this topic, students are expected to be able to:
Understand the conceptual foundations of elementary statistical inference
Understand mathematical arguments and proofs relevant to elementary statistical inference
Solve applied problems requiring the techniques of elementary statistical inference
Understand mathematical arguments and proofs relevant to elementary non-parametric statistical inference
Solve applied problems requiring the techniques of elementary non-parametric statistical inference
Key dates and timetable
Timetable details for 2019 are no longer published.
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