STATS 1005 - Statistical Analysis and Modelling I
Career: | Undergraduate |
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Units: | 3 |
Term: | 4020 |
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: | At least a C- in both SACE Stage 2 Mathematical Methods and SACE Stage 2 Specialist Mathematics; or at least 3 in IB Mathematics: analysis and approaches HL; or MATHS 1013. |
Incompatible: | MATHS 2107, STATS 1000, STATS 1004, STATS 1504, ECON 1008 |
Assessment: | Ongoing Assessment |
Syllabus: |
This is a first course in Statistics for mathematically inclined students. It will address the key principles underlying commonly used statistical methods such as confidence intervals, hypothesis tests, inference for means and proportions, and linear regression. It will develop a deeper mathematical understanding of these ideas, many of which will be familiar from studies in secondary school. The application of basic and more advanced statistical methods will be illustrated on a range of problems from areas such as medicine, science, technology, government, commerce and manufacturing. The use of the statistical package R will be developed through a sequence of computer practicals. Topics covered will include: basic probability and random variables, fundamental distributions, inference for means and proportions, comparison of independent and paired samples, simple linear regression, diagnostics and model checking, multiple linear regression, simple factorial models, models with factors and continuous predictors. |
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 | |||
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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 |
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4020 | Mon 10/08/2020 | Wed 19/08/2020 | Fri 30/10/2020 | Not Available |
Class Details
Enrolment Class: Lecture | |||||||
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Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
23376 | LE01 | 150 | 37 | 28 Jul - 15 Sep | Tuesday | 4pm - 5pm | MyUni, OL, Online Class |
29 Jul - 16 Sep | Wednesday | 9am - 10am | MyUni, OL, Online Class | ||||
31 Jul - 18 Sep | Friday | 2pm - 3pm | MyUni, OL, Online Class | ||||
6 Oct - 27 Oct | Tuesday | 4pm - 5pm | MyUni, OL, Online Class | ||||
7 Oct - 28 Oct | Wednesday | 9am - 10am | MyUni, OL, Online Class | ||||
9 Oct - 30 Oct | Friday | 2pm - 3pm | MyUni, OL, Online Class | ||||
Related Class: | |||||||
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
20040 | SG01 | 60 | 4 | 28 Jul - 15 Sep | Tuesday | 1pm - 2pm | Ingkarni Wardli, B18, Teaching Room |
6 Oct - 27 Oct | Tuesday | 1pm - 2pm | Ingkarni Wardli, B18, Teaching Room | ||||
20041 | SG02 | 45 | 10 | 29 Jul - 16 Sep | Wednesday | 3pm - 4pm | Barr Smith South, 2060, Teaching Room |
7 Oct - 28 Oct | Wednesday | 3pm - 4pm | Barr Smith South, 2060, Teaching Room | ||||
22000 | SG03 | 30 | 8 | 29 Jul - 16 Sep | Wednesday | 12pm - 1pm | MyUni, OL, Online Class |
7 Oct - 28 Oct | Wednesday | 12pm - 1pm | MyUni, OL, Online Class | ||||
Related Class: Practical | |||||||
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
23377 | PR01 | 60 | 3 | 28 Jul - 15 Sep | Tuesday | 12pm - 1pm | Ingkarni Wardli, 234, CAT Suite |
6 Oct - 27 Oct | Tuesday | 12pm - 1pm | Ingkarni Wardli, 234, CAT Suite | ||||
23378 | PR02 | 45 | 12 | 29 Jul - 16 Sep | Wednesday | 2pm - 3pm | Ingkarni Wardli, B16, CAT Suite |
7 Oct - 28 Oct | Wednesday | 2pm - 3pm | Ingkarni Wardli, B16, CAT Suite | ||||
25547 | PR03 | 30 | 7 | 29 Jul - 16 Sep | Wednesday | 11am - 12pm | MyUni, OL, Online Class |
7 Oct - 28 Oct | Wednesday | 11am - 12pm | MyUni, OL, Online Class |