STATS 3001 - Statistical Modelling III
Career: | Undergraduate |
---|---|
Units: | 3 |
Term: | 4210 |
Campus: | North Terrace |
Contact: | Up to 3 hours per week |
Available for Study Abroad and Exchange: | Yes |
Available for Non-Award Study: | Yes |
Pre-Requisite: | STATS 2107 or (MATHS 2201 and MATHS 2202) or (MATHS 2106 and MATHS 2107) |
Assumed Knowledge: | Experience with the statistical package R such as would be obtained from STATS 1005 or STATS 2107. |
Assessment: | Ongoing assessment, exam |
Syllabus: |
One of the key requirements of an applied statistician is the ability to formulate appropriate statistical models and then apply them to data in order to answer the questions of interest. Most often, such models can be seen as relating a response variable to one or more explanatory variables. For example, in a medical experiment we may seek to evaluate a new treatment by relating patient outcome to treatment received while allowing for background variables such as age, sex and disease severity. In this course, a rigorous discussion of the linear model is given and various extensions are developed. There is a strong practical emphasis and the statistical package R is used extensively. Topics covered are: the linear model, least squares estimation, generalised least squares estimation, properties of estimators, the Gauss-Markov theorem; geometry of least squares, subspace formulation of linear models, orthogonal projections; regression models, factorial experiments, analysis of covariance and model formulae; regression diagnostics, residuals, influence diagnostics, transformations, Box-Cox models, model selection and model building strategies; logistic regression models; Poisson regression models. |
Course Fees
Study Abroad student tuition fees are available here
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.
EFTSL | |||
---|---|---|---|
0.125 |
Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
Critical Dates
Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
---|---|---|---|---|
4210 | Tue 15/03/2022 | Thu 24/03/2022 | Fri 06/05/2022 | Fri 10/06/2022 |
Class Details
Enrolment Class: Workshop | |||||||
---|---|---|---|---|---|---|---|
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
10578 | WR01 | 105 | 42 | 3 Mar - 7 Apr | Thursday | 1pm - 2pm | Engineering Sth, S111, Teaching Room |
28 Apr - 2 Jun | Thursday | 1pm - 2pm | Engineering Sth, S111, Teaching Room | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. | |||
Related Class: Computer Exercise | |||||||
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
10577 | CO01 | 57 | 10 | 28 Feb - 28 Feb | Monday | 9am - 10am | Ingkarni Wardli, B23, CAT Suite |
14 Mar - 14 Mar | Monday | 9am - 10am | Ingkarni Wardli, B23, CAT Suite | ||||
28 Mar - 28 Mar | Monday | 9am - 10am | Ingkarni Wardli, B23, CAT Suite | ||||
25 Apr - 25 Apr | Monday | 9am - 10am | Ingkarni Wardli, B23, CAT Suite | ||||
9 May - 9 May | Monday | 9am - 10am | Ingkarni Wardli, B23, CAT Suite | ||||
23 May - 23 May | Monday | 9am - 10am | Ingkarni Wardli, B23, CAT Suite | Note: This class is only available for face-to-face (on-campus) students. | |||
10589 | CO02 | 50 | 34 | 2 Mar - 2 Mar | Wednesday | 4pm - 5pm | MyUni, OL, Online Class |
16 Mar - 16 Mar | Wednesday | 4pm - 5pm | MyUni, OL, Online Class | ||||
30 Mar - 30 Mar | Wednesday | 4pm - 5pm | MyUni, OL, Online Class | ||||
27 Apr - 27 Apr | Wednesday | 4pm - 5pm | MyUni, OL, Online Class | ||||
11 May - 11 May | Wednesday | 4pm - 5pm | MyUni, OL, Online Class | ||||
25 May - 25 May | Wednesday | 4pm - 5pm | MyUni, OL, Online Class | Note: This class is for offshore / interstate students only. Where this requirement is not met, students risk being removed from this class. Please refer to MyUni for details once enrolled. | |||
Related Class: Tutorial | |||||||
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
10587 | TU01 | 57 | 9 | 7 Mar - 7 Mar | Monday | 9am - 10am | Barr Smith South, 1062, Teaching Room |
21 Mar - 21 Mar | Monday | 9am - 10am | Barr Smith South, 1062, Teaching Room | ||||
4 Apr - 4 Apr | Monday | 9am - 10am | Barr Smith South, 1062, Teaching Room | ||||
2 May - 2 May | Monday | 9am - 10am | Barr Smith South, 1062, Teaching Room | ||||
16 May - 16 May | Monday | 9am - 10am | Barr Smith South, 1062, Teaching Room | ||||
30 May - 30 May | Monday | 9am - 10am | Barr Smith South, 1062, Teaching Room | Note: This class is only available for face-to-face (on-campus) students. | |||
10588 | TU02 | 50 | 35 | 9 Mar - 9 Mar | Wednesday | 4pm - 5pm | MyUni, OL, Online Class |
23 Mar - 23 Mar | Wednesday | 4pm - 5pm | MyUni, OL, Online Class | ||||
6 Apr - 6 Apr | Wednesday | 4pm - 5pm | MyUni, OL, Online Class | ||||
4 May - 4 May | Wednesday | 4pm - 5pm | MyUni, OL, Online Class | ||||
18 May - 18 May | Wednesday | 4pm - 5pm | MyUni, OL, Online Class | ||||
1 Jun - 1 Jun | Wednesday | 4pm - 5pm | MyUni, OL, Online Class | Note: This class is for offshore / interstate students only. Where this requirement is not met, students risk being removed from this class. Please refer to MyUni for details once enrolled. | |||
Automatic Enrolment Class: Lecture | |||||||
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
19403 | LEC0 | 105 | 42 | This class does not have any timetabled face-to-face sessions. Please check MyUni or contact your Course Coordinator for details. |