• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
  • ANU College ANU College of Business and Economics
  • Course subject Statistics
  • Areas of interest Actuarial Studies, Statistics

A first course in mathematical statistics for actuarial studies 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, bayesian statistics and credibility theory. 

Learning Outcomes

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

  1. Apply and calculate probability including combinatorics
  2. Define and utilise discrete, continuous and mulivariate random variables and their probability distributions
  3. Define sampling distributions and use the central limit theorem in a variety of contexts
  4. Perform the method of moments and maximum likelihood estimation
  5. Perform confidence estimation and hypothesis testing in a variety of contexts
  6. Define and apply the fundamental concepts of Bayesian statistics and Bayesian estimators, including credibility estimators

Indicative Assessment

  1. Typical assessment may include, but is not restricted to: assignments 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

Requisite and Incompatibility

To enrol in this course you must be enrolled in Master of Actuarial Studies or Master of Actuarial Practice. Incompatible with STAT2001, STAT2013 and STAT6039.

Prescribed Texts

Wackerly, D.D., Mendenhall III, W., and Scheaffer, R.L. (2008). Mathematical Statistics with Applications, Seventh edition. Duxbury, Thomson, Brooks/Cole.

Owen, W.J. (2008). Student Solutions Manual for Wackerly, Mendenhall, and Scheaffer’s Mathematical Statistics with Applications, Seventh Edition. Duxbury, Thomson, Brooks/Cole.

Preliminary Reading

Other recommended texts (amongst much similar material in the Hancock Library):

Miller, I., and Miller, M. (2014). John E. Freund's Mathematical Statistics with Applications, Eighth Edition. Pearson.

Spiegel, M.R., Schiller, J.J., and Srinivasan, R.A. (2013). Schaum's Outline of Probability and Statistics, Fourth Edition. McGraw-Hill.

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 and Dates

The list of offerings for future years is indicative only

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
3606 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
8616 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person N/A

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