• 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
• Mode of delivery In Person
• Co-taught Course
• Offered in
Introductory Mathematical Statistics for Actuarial Studies (STAT2013)

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:

Upon successful completion of the requirements for this course, students will be able to:
1. Use and calculate probability including combinatorics
2. Use and describe discrete, continuous and mulivariate 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, including credibility estimators.

## Indicative Assessment

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

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 have completed MATH1113 or MATH1116 or MATH1014, and have completed STAT1003 or STAT1008. Incompatible with STAT2001.

## 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 Scheafferâ€™s Mathematical Statistics with Applications, Seventh Edition. Duxbury, Thomson, Brooks/Cole.

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

## Course fees

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, 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
3604 24 Feb 2020 02 Mar 2020 08 May 2020 05 Jun 2020 In Person View
4858 24 Feb 2020 02 Mar 2020 08 May 2020 05 Jun 2020 Online View

### Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8612 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person View