• 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 Janice Scealy
    • Dr Le Chang
    • Dr Xuan Liang
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Summer Session 2020
    First Semester 2020
    Second Semester 2020
    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, and Bayesian statistics.

Learning Outcomes

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

  1. Calculate probabilities using set theory and combinatorics;
  2. Use and describe discrete, continuous and multivariate random variables and their probability distributions in simple and complex cases;
  3. Define sampling distributions and use the central limit theorem;
  4. Explain in detail and use the method of moments and maximum likelihood estimation;
  5. Perform confidence estimation and hypothesis testing in a variety of contexts; and
  6. Use and describe in detail the fundamental concepts of Bayesian statistics and Bayesian estimators.

Other Information

Offerings of this course outside of Semester 1 and Semester 2 are available only to students enrolled in MADAN.

Indicative Assessment

  1. Typical assessment may include, but is not restricted to: exams, assignments, quizzes, presentations and other assessment as appropriate (100) [LO 1,2,3,4,5,6]

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 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time.

Inherent Requirements

Not applicable

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 Bioinformatics, or MSc in QBB advance version. Students enrolled in MADAN must have completed STAT7055. Incompatible with STAT2001, STAT2013 and STAT6013.

Prescribed Texts

Information about the prescribed textbook will be available via the Class Summary

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
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

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.

Summer Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
1639 13 Jan 2020 17 Jan 2020 31 Jan 2020 13 Mar 2020 In Person N/A

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
2517 24 Feb 2020 02 Mar 2020 31 Mar 2020 29 May 2020 In Person N/A

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7810 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person N/A

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