• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
  • ANU College ANU College of Business and Economics
  • Classification Transitional
  • Course subject Statistics
  • Areas of interest Statistics
  • Academic career PGRD
  • Course convener
    • Dr Janice Scealy
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2015
    See Future Offerings

STAT7029 is a course that deals with two of the most important approaches to collecting research data - surveys and experiments.

The first half of the course will focus on experimental design and will cover topics such as the analysis of variance, the completely randomised design, the randomized complete block design, Latin squares, factorial designs and if time permits nested designs.

Survey sampling topics will be covered in the second half of the course and may include: simple random sampling, with and without replacement; estimation of population total, mean and proportion; subpopulation inference; systematic sampling; stratified sampling; ratio estimation; unequal probability sampling, including the Hansen and Hurwitz estimator and the Horvitz-Thompson estimator; regression estimation; and estimation of population size.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Upon successful completion of the requirements for this course, students will be able to:

  1. Select, design and show a deep understanding of an appropriate method of data collection for a research project.
  2. Demonstrate a high level of understanding of statistical survey sampling techniques.
  3. Derive and apply suitable estimation procedures to analyse the results of a routine sample survey.
  4. Explain in detail the basic principles in the design of simple experiments.

Other Information

See the course outline on the College courses page. Outlines are uploaded as they become available. 

Indicative Assessment

  • Assignment 1: 20%
  • Assignment 2: 20%
  • Final Examination: 60%

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

Students taking this course are expected to commit at least 10 hours a week to completing the work.

This will include:

  • attendance at 3 lectures per week and 1 tutorial
  • 6 or more hours of private study, including time spent reviewing course materials and completing computing, tutorial work and assignments.

Requisite and Incompatibility

To enrol in this course you must have completed STAT2001/STAT6039 and STAT2008/STAT6038 or be studying the Master of Applied Statistics.

Specialisations

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2015 $3414
International fee paying students
Year Fee
2015 $4350
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
1832 16 Feb 2015 06 Mar 2015 31 Mar 2015 29 May 2015 In Person N/A

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions