Statistical Inference

Course code STAT3010Units 10Level 3000Faculty of Science and Information TechnologySchool of Mathematical and Physical Sciences

Why do we use particular statistical techniques, and how do they work? This course covers the theory behind both standard and computationally intensive techniques for investigating and modelling data (estimation and hypothesis testing).

Available in 2015

Callaghan CampusSemester 1
Previously offered in 2014
ObjectivesOn successful completion of this course students should be able to :

1. understand the basic concepts underlying estimation theory and hypothesis testing;
2. explain the underlying assumptions and the applicability of each of the approaches studied;
3. determine appropriate methods for practical inference problems and apply such methods to data.
Content- Estimation methods
- Hypothesis Testing
- Evaluating tests
- Monte Carlo Simulation methods for inference
- Randomisation tests
- Bootstrap methods.
Replacing Course(s)n/a
Transitionn/a
Industrial Experience0
Assumed KnowledgeSTAT2010 - Fundamentals of Statistics
Introductory Calculus
Modes of DeliveryInternal Mode
Teaching MethodsLecture
Computer Lab
Assessment Items
Essays / Written Assignments
Examination: Formal
Contact HoursLecture: for 2 hour(s) per Week for Full Term
Computer Lab: for 2 hour(s) per Week for Full Term
Timetables2015 Course Timetables for STAT3010