• 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 Postgraduate
  • Course convener
    • Dr Borek Puza
    • Mr Lawrence Field
  • Mode of delivery In Person
  • Offered in Summer Session 2018
    First Semester 2018
    Second Semester 2018
    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 of the requirements for this course, students should have the
knowledge and skills to:

Demonstrate a high level of understanding and be able to communicate the following topics:

1. Introductory probability including combinatorics and Bayes' theorem
2. Discrete random variables and their probability distributions
3. Continuous random variables and their probability distributions
4. Multivariate random variables and their probability distributions
5. Sampling distributions and the central limit theorem
6. The method of moments and maximum likelihood estimation
7. Confidence estimation and hypothesis testing
8. Simple linear regression  

Other Information

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

Indicative Assessment

Typical assessment may include, but is not restricted to: assignments, a mid-semester exam and a final exam.

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.

Requisite and Incompatibility

To enrol in this course you must be enrolled in Master of Actuarial Studies, M of Actuarial Practice, M of Statistics, MSc in Quantitative Biology and Bioinformatic, or MSc in QBB avanced version. Students enrolled in MADAN must have completed STAT7055.

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:
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
2018 $3660
International fee paying students
Year Fee
2018 $5160
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
1879 15 Jan 2018 26 Jan 2018 26 Jan 2018 16 Mar 2018 In Person

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
2993 19 Feb 2018 27 Feb 2018 31 Mar 2018 25 May 2018 In Person

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
8560 23 Jul 2018 30 Jul 2018 31 Aug 2018 26 Oct 2018 In Person

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