University Course Planner The University of Adelaide Australia

STATS 2107 - Statistical Modelling and Inference II

Career: Undergraduate
Units: 3
Term: 3620
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: (MATHS 1004 or MATHS 1012) and (STATS 1000 or STATS 1004 or STATS 1005 or MATHS 2201 or MATHS 2107)
Assumed Knowledge: MATHS 2103. Familiarity with a programming language; R would be most beneficial.
Assessment: Ongoing assessment, exam
Syllabus:

Statistical methods underpin disciplines which draw inference from data and this includes just about everything: for example, the sciences, humanities, technology, education, engineering, government, industry and medicine. Analysis of the complex problems arising in practice requires an understanding of fundamental statistical principles together with knowledge of how to use suitable modelling techniques. Computing using high-level software is also an essential element of modern statistical practice. This course provides you with these skills by giving an introduction to the principles of statistical inference and linear statistical models using the freely available statistical package R. Topics covered are: point estimates, unbiasedness, mean-squared error, confidence intervals, tests of hypotheses, power calculations, derivation of one and two-sample procedures: simple linear regression, regression diagnostics, and prediction: linear models, analysis of variance (ANOVA), multiple linear regression, factorial experiments, analysis of covariance models including parallel and separate regressions, and model building, including maximum likelihood methods for estimation and testing.

Course Fees

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Student Status

Domestic
International

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Commonwealth supported
Full fee paying

Study Level

Undergraduate
Postgraduate Coursework
Non Award

Program of Study

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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.

Units
EFTSL
Amount
3
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
3620 Mon 08/08/2016 Wed 31/08/2016 Fri 16/09/2016 Fri 28/10/2016


Class Details

Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
23115 LE01 51 7 26 Jul - 13 Sep Tuesday 4pm - 5pm Ingkarni Wardli, B21, Teaching Room
27 Jul - 14 Sep Wednesday 4pm - 5pm Napier, 208, Lecture Theatre
29 Jul - 16 Sep Friday 2pm - 3pm Barr Smith South, 534, Forum Lecture Theatre
4 Oct - 25 Oct Tuesday 4pm - 5pm Ingkarni Wardli, B21, Teaching Room
5 Oct - 26 Oct Wednesday 4pm - 5pm Napier, 208, Lecture Theatre
7 Oct - 28 Oct Friday 2pm - 3pm Barr Smith South, 534, Forum Lecture Theatre
Related Class: Practical
Class Nbr Section Size Available Dates Days Time Location
23116 PR01 51 7 25 Jul - 12 Sep Monday 12pm - 1pm Engineering & Mathematics, EMG13, Computer Suite
3 Oct - 24 Oct Monday 12pm - 1pm Engineering & Mathematics, EMG13, Computer Suite
Related Class: Tutorial
Class Nbr Section Size Available Dates Days Time Location
23117 TU01 26 4 27 Jul - 14 Sep Wednesday 3pm - 4pm Ingkarni Wardli, B20, Teaching Room
5 Oct - 26 Oct Wednesday 3pm - 4pm Ingkarni Wardli, B20, Teaching Room
29061 TU02 25 3 25 Jul - 12 Sep Monday 11am - 12pm Engineering & Mathematics, EMG07, Teaching Room
3 Oct - 24 Oct Monday 11am - 12pm Engineering & Mathematics, EMG07, Teaching Room