This course involves on campus teaching. For students unable to come to campus there will be a remote option. See the Class Summary for more details.
STAT4029 is a course that deals with two of the most important approaches to collecting research data - experiments and surveys.
The first part 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 part of the course and may include: simple random sampling, with and without replacement; estimation of population total, mean, proportion and size; subpopulation inference; systematic sampling; stratified sampling; ratio estimation; regression estimation; unequal probability sampling, including the Hansen and Hurwitz estimator and the Horvitz-Thompson estimator; regression estimation; and if time permits, cluster sampling.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Select, design and show a deep understanding of an appropriate method of data collection for a research project;
- Explain in detail the basic principles in the design of simple experiments;
- Demonstrate a high level of understanding of statistical survey sampling techniques; and
- Derive and apply suitable estimation procedures to analyse the results of a routine sample survey.
Indicative Assessment
- Typical assessment may include, but is not restricted to: exams, assignments, quizzes, presentations and other assessment as appropriate. (100) [LO 1,2,3,4]
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 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time.
Inherent Requirements
Not applicable
Requisite and Incompatibility
You will need to contact the Rsch Sch of Finance, Actuarial Studies & App Stats to request a permission code to enrol in this course.
Prescribed Texts
Information about the prescribed textbook will be available via the Class Summary.
Specialisations
Fees
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- 1
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found 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 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2022 | $4200 |
- International fee paying students
| Year | Fee |
|---|---|
| 2022 | $6000 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
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 |
|---|---|---|---|---|---|---|
| 2848 | 21 Feb 2022 | 28 Feb 2022 | 31 Mar 2022 | 27 May 2022 | In Person | View |
