Key facts

UNE unit code: STAT570

*You are viewing the 2026 version of this unit which may be subject to change in future.

Start
  • Trimester 2 - On Campus
  • Trimester 2 - Online
Campus
  • Armidale Campus
24/7 online support
  • Yes
Intensive schools
  • No
Supervised exam
  • Yes
Credit points
  • 6

Unit information

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In many scientific settings, our understanding of complex observations or experimental results is shaped by applying methods of statistical inference. Inference can be used to help us make conclusions about an underlying population based on a sample data.

Adding to your statistical skill set, this unit will help you to develop an in-depth understanding of the fundamental strategies and underlying theoretical concepts that are critical for statistical inference. You will explore various methods of estimation and properties of the estimators, hypothesis testing, analysis of variance, linear regression and an introduction to Bayesian inference.

With a focus on integrating your critical thinking and analytical skills with theoretical statistics knowledge, you will be equipped for flexible, creative statistical thinking that will allow you to find solutions to diverse problems in practice.

Offerings

For further information about UNE's teaching periods, please go to Principal Dates.

Teaching period
Mode/location
Trimester 2On Campus, Armidale Campus
Trimester 2Online

*Offering is subject to availability

Intensive schools

There are no intensive schools required for this unit.

Enrolment rules

Pre-requisites
candidature in a postgraduate award and completion of MATH260 or MATH460.
Restrictions
STAT261 or STAT270 or STAT370 or STAT470 or STAT461
Combined units

Notes

Two lectures and a two-hour tutorial/workshop per week for on-campus students; online students must have access to the statistical package R

Please refer to the student handbook for current details on this unit.

Unit coordinator(s)

profile photo of Brenda Vo
Brenda VoSenior Lecturer in Statistics - Faculty of Science, Agriculture, Business and Law; School of Science and Technology

Learning outcomes

Upon completion of this unit, students will be able to:

  1. use advanced theoretical knowledge of probability and statistics to appreciate the different types of statistical inference (i) frequentist (ii) Bayesian and (iii) non-parametric;
  2. with expert cognitive and technical skills, and theoretical knowledge, analyse data using (i),(ii) and (iii), using statistical computing;
  3. generate and interpret solutions to complex statistical problems by applying methodology in a logical and coherent fashion;
  4. demonstrate autonomy, expert judgement, and synthesis of complex information to report statistical results to others; and
  5. combine their established knowledge of probability and statistics with research to independently analyse data within a special topic, reflecting critically on and communicating the results of this analysis.

Assessment information

Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

TitleMust CompleteWeightOfferingsAssessment Notes
Assessment 1Yes10%All offerings

Problem solving. Students must obtain at least 40% overall across the first three assignments.

Assessment 2Yes10%All offerings

Problem solving. Students must obtain at least 40% overall across the first three assignments.

Assessment 3Yes10%All offerings

Problem solving and data analysis project. Students submit a report and a 10-minute recorded presentation on their analysis. Must obtain at least 40% overall across the first three assignments.

Assessment 4Yes10%All offerings
Advanced Reading Topic. To pass, students must obtain:
 
-at least 50% on the combined Mid-Trimester and Oral examinations
-at least 40% overall for the first three assignments
-at least 50% on assignment 4
-an overall pass grade
Mid-Trimester Examination - Assurance TaskYes30%All offerings
Mid-Trimester exam via ProctorU. To pass, students must obtain:
 
-at least 50% on the combined Mid-Trimester and oral examinations
-at least 40% overall for assessments 1 to 3
-at least 50% on assignment 4
-an overall pass grade
Oral Examination - Assurance TaskYes30%All offerings
To pass, students must obtain:
 
-at least 50% on the combined Mid-Trimester and oral examinations
-at least 40% overall for assessments 1 to 3
-at least 50% on assignment 4
-an overall pass grade

Learning resources

Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

Note: Recommended material may be held in the University Library — purchase is optional.

Mathematical Statistics with Applications

ISBN: 9780495110811

Wackerly, D., Mendenhall, W. and Scheaffer, R.L., Duxbury 7th ed. 2007

Text refers to: All offerings

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We understand the challenges faced by busy adults studying at home. We know that a vital part of online study is your engagement with the learning community. Communication with your classmates, teaching staff and university support staff will enhance your study experience and ensure that your skills extend beyond the subject matter. UNE’s teaching staff are experts in their field which is why UNE consistently receives five stars from students for teaching quality, support and overall experience.*

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