• 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 UGRD
  • Course convener
    • Yanlin Shi
  • Mode of delivery In Person
  • Offered in Second Semester 2014
    See Future Offerings

Statistics 3008/7001 (Applied Statistics) is a course designed for senior undergraduate and research students who need to design experiments and carry out statistical analysis of their data. Emphasis will be placed on the development of statistical concepts and statistical computing, rather than mathematical details. The content covered will be motivated by problem-solving in many diverse areas of application. The topics covered will include regression modelling with emphasis on model formulation, understanding the implication of model assumptions, diagnostic methods for model checking and interpretation, logistic regression for binary variables and binomial counts, log-linear regression for Poisson counts, and exploratory tools for summarising multivariate responses.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Upon successful completion of the requirements for this course, students will be able to:

  • Demonstrate a working knowledge of the statistical computing package R.
  • Fit simple and multiple linear regression models and interpret model parameters.
  • Summarise and analyse relationships between a response variable and a covariate or covariates.
  • Assess and refine simple and multiple linear regression models based on diagnostic measures.
  • Carry out model selection in a multiple linear regression modelling context.
  • The above outcomes for logistic and Poisson log-linear regression models.
  • Understand basic multivariate analyses techniques and the bootstrap.

Other Information

See the course outline on the College courses page. Outlines are uploaded as they become available. 

Indicative Assessment

  • Assignments - 30% (redeemable)
  • Final exam - 70%

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

Three hours of lectures and tutorials per week plus private study time.

Requisite and Incompatibility

To enrol in this course you must have completed STAT1003 or STAT1008

Majors

Minors

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. Students continuing in their current program of study will have their tuition fees indexed annually from the year in which you commenced your program. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution 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
Domestic fee paying students
Year Fee Description
1994-2003 $2784
2014 $3246
2013 $3246
2012 $3090
2011 $3090
2010 $3090
2009 $3090
2008 $3090
2007 $3090
2006 $3090
2005 $3084
2004 $3084
International fee paying students
Year Fee
1994-2003 $2784
2014 $3762
2013 $3756
2012 $3582
2011 $3582
2010 $3576
2009 $3264
2008 $3264
2007 $3264
2006 $3132
2005 $3084
2004 $3084
Note: Please note that fee information is for current year only.

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.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
9097 21 Jul 2014 01 Aug 2014 31 Aug 2014 30 Oct 2014 In Person N/A

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