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STAT261 Inference

Updated: 15 January 2013
Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study
Armidale Trimester 2 Off Campus
Armidale Trimester 2 On Campus
Intensive School(s) None
Supervised Exam There is a UNE Supervised Examination held at the end of the teaching period in which you are enrolled.
Pre-requisites STAT260 or MATH260 or candidature in a postgraduate award in the School of Environmental and Rural Science or School of Science and Technology
Co-requisites None
Restrictions None
Notes

Two lectures, a one-hour tutorial, and a one-hour laboratory session per week for on-campus students; off-campus students must have access to the statistical package R
Combined Units None
Coordinator(s) Jacqueline Reid (jreid3@une.edu.au)
Unit Description

The topics covered are: estimation; hypothesis testing; chi square; F- and t-distributions; goodness of fit tests including contingency tables; analysis of variance; and linear regression.
Important Information

Where calculators are permitted in examinations, it must be selected from an approved list, which can be accessed from the Further Information link below.

Further information
Materials Textbook information will be displayed approximately 8 weeks prior to the commencement of the teaching period. Please note that textbook requirements may vary from one teaching period to the next.
Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment Assessment information will be published prior to commencement of the teaching period.
Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. appreciate the different types of statistical inference (i) frequentist (ii) Bayesian and (iii) non-parametric;
  2. analyse data using (i),(ii) and (iii), using statistical computing; and
  3. report results in plain English.

Graduate Attributes (GA)
Attribute Taught Assessed Practised
1 Knowledge of a Discipline
Knowledge of the discipline is imparted by lecture, on-line material and by notes, and it is assessed by practical computer workshops, tutorials, as well as by written assignments and written examination. 		True True True
2 Communication Skills
Communication skills are addressed primarily in the tutorial but are assessed in the quality of written work, where typeset assignment solutions are required. These skills are also tested in the computer practical sessions. 		True True True
3 Global Perspectives
The historical and modern development of statistical inference in its many forms is mainly addressed in the lecture stream of this unit. 		True
4 Information Literacy
All students doing this unit are required to submit assignment solutions using a mathematical typesetting package. 		True True True
5 Life-Long Learning
The content of this unit will need to be used constantly by all students who wish to pursue a career in statistics or its application. 		True
6 Problem Solving
As this is essentially the reason for statistics being a discipline, problem solving is not only covered in lectures, but forms the basis of tutorials, practical and assignment activities. 		True True True
   

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