• 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
• Course convener
• Dr Borek Puza
• Dr Laurence Field
• Mode of delivery In Person
• Co-taught Course
• Offered in First Semester 2019
Second Semester 2019
Introductory Mathematical Statistics (STAT2001)

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. Use and calculate probability including 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
6. Use and describe the fundamental concepts of Bayesian statistics and Bayesian estimators

## Indicative Assessment

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

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.

Not applicable

## Requisite and Incompatibility

To enrol in this course you must have completed STAT1003 or STAT1008, and have either completed MATH1113, or MATH1115, or have completed or be concurrently enrolled in MATH1014. This course is incompatible with STAT2013.

None specified

## 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.

## 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
2787 25 Feb 2019 04 Mar 2019 31 Mar 2019 31 May 2019 In Person View

### Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8240 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person View