• 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
    • Dr Borek Puza
    • Dr Janice Scealy
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in 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;
  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; and
  6. Use and describe the fundamental concepts of Bayesian statistics and Bayesian estimators.

Other Information

Students who commenced enrolment in the Bachelor of Actuarial Studies in 2019 or later, and students considering transferring to the Bachelor of Actuarial Studies, should take STAT2013 rather than STAT2001. Contact the convener of the Bachelor of Actuarial Studies if you unsure whether to enrol in STAT2001 or STAT2013.

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 have have completed STAT1003 or STAT1008 or be enrolled in the Bachelor of Applied Data Analytics; and have completed MATH1113 or MATH1115 or have completed or be concurrently enrolled in MATH1014.  Incompatible with STAT2013 and STAT6013.

Prescribed Texts

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

Assumed Knowledge

Whilst enrollment without completing MATH1116 or concurrent enrollment with MATH1014 is possible, students are recommended to have completed MATH1113, MATH1116 or MATH1014 before this course if their program structure allows it. 

Majors

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.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
2516 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
7809 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person N/A

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions