• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
  • ANU College ANU College of Business and Economics
  • Course subject Statistics
  • Areas of interest Statistics
  • Academic career Undergraduate
  • Course convener
    • Dr Janice Scealy
  • Mode of delivery In Person
  • Co-taught Course STAT7029
  • Offered in First Semester 2019
    See Future Offerings

STAT3012 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 of the requirements for this course,

students will be able to:

1. Select and design an appropriate method of data collection for a

research project.

2. Apply statistical survey sampling techniques to design a routine

sample survey.

3. Devise and apply suitable estimation procedures to analyse the

results of a routine sample survey.

4. Apply 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

Typical assessment may include, but is not restricted to: assignments and a final exam.

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 are expected to commit at least 10 hours per week to completing the work in this course. This will include at least 3 contact hours per week and up to 7 hours of private study time.

Requisite and Incompatibility

Corequisite: STAT2001 Introductory Mathematical Statistics Prerequisite: STAT2008 Regression Modelling Incompatible with STAT7029

Majors

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:
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
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
2499 25 Feb 2019 04 Mar 2019 31 Mar 2019 31 May 2019 In Person

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