• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
  • ANU College ANU College of Business and Economics
  • Classification Transitional
  • Course subject Statistics
  • Areas of interest Statistics
  • Academic career PGRD
  • Course convener
    • Dr Borek Puza
    • Dr Laurence Field
    • Dr Le Chang
  • Mode of delivery In Person
  • Offered in Summer Session 2019
    First Semester 2019
    Second Semester 2019
    See Future Offerings

A first course in mathematical statistics with emphasis on applications; probability, random variables, moment generating functions and correlation, sampling distributions, estimation of parameters by the methods of moments and maximum likelihood, hypothesis testing, the central limit theorem, simple linear regression.

Learning Outcomes

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

  1. Use and calculate probability including combinatorics
  2. Use and describe discrete, continuous and multivariate random variables and their probability distributions
  3. Define sampling distributions and use the central limit theorem
  4. Use the method of moments and maximum likelihood estimation
  5. Perform confidence estimation and hypothesis testing
  6. Use and describe the fundamental concepts of Bayesian statistics and Bayesian estimators

Other Information

Indicative Assessment

  1. Typical assessment may include, but is not restricted to: assignments, a mid-semester exam and a final exam. (null) [LO null]

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 at least 10 hours per week to completing the work in this course. This will include at least 3 contact hours per week and up to 7 hours of private study time.

 

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must be enrolled in Master of Statistics, Master of Science in Quantitative Biology and Bioinformatics, or Master of Science (Advanced) in Quantitative Biology and Bioinformatics. Students enrolled in the Master of Applied Data Analytics must have completed STAT7055. This course is incompatible with STAT2001, STAT2013 and STAT6013.

Specialisations

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. Tuition fees are indexed annually. 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
2019 $3840
International fee paying students
Year Fee
2019 $5460
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Summer Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
1707 13 Jan 2019 18 Jan 2019 01 Feb 2019 15 Mar 2019 In Person View

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
2788 25 Feb 2019 04 Mar 2019 31 Mar 2019 31 May 2019 In Person View

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8241 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person N/A

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