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Available in 2012

Callaghan CampusSemester 1

Previously offered in 2013, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004

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).

Objectives
On 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
Transition
n/a
Industrial Experience
0
Assumed Knowledge
STAT2010 - Fundamentals of Statistics
Introductory Calculus
Modes of Delivery
Internal Mode
Teaching Methods
Lecture
Computer Lab
Assessment Items
Essays / Written Assignments
Examination: Formal
Contact Hours
Lecture: for 2 hour(s) per Week for Full Term
Computer Lab: for 2 hour(s) per Week for Full Term

Timetables