Metadata
Title
Programs and Courses
Category
courses
UUID
12643e7d17ee4fed9195a28a9b11e57b
Source URL
https://programsandcourses.anu.edu.au/2026/course/STAT1003
Parent URL
https://programsandcourses.anu.edu.au/program/AACOM
Crawl Time
2026-03-11T02:29:51+00:00
Rendered Raw Markdown
# Programs and Courses

**Source**: https://programsandcourses.anu.edu.au/2026/course/STAT1003
**Parent**: https://programsandcourses.anu.edu.au/program/AACOM

- Code
  [STAT1003](https://programsandcourses.anu.edu.au/2026/course/STAT1003)
- Unit Value
  6 units

- 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 Emi Tanaka
- Mode of delivery
  In Person
- Offered in

  First Semester 2026\

  [See Future Offerings](#terms)

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Statistical Techniques ([STAT1003](https://programsandcourses.anu.edu.au/2026/course/STAT1003))

- [Introduction](#introduction)
- [Learning Outcomes](#learning-outcomes)
- [Indicative Assessment](#indicative-assessment)
- [Workload](#workload)
- [Inherent Requirements](#inherent-requirements)
- [Requisite and Incompatibility](#incompatibility)
- [Prescribed Texts](#prescribed-texts)
- [Minors](#minors)
- [Fees](#fees)
- [Offerings and Dates](#terms)

This course introduces students to the philosophy and methods of modern statistical data analysis and inference, with a particular focus on applications to the life sciences. The course has a strong emphasis on computing and graphical methods, and uses a variety of real-world problems to motivate the theory and methods required for carrying out statistical data analysis. This course makes extensive use of R statistical analysis package interfaced through R Studio.

## Learning Outcomes

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

1. Summarise and graph data appropriately;
2. Work with random variables and probability distributions and describe the rationale behind them;
3. Describe and use the normal distribution appropriately;
4. Identify when and how to carry out basic statistical inference including confidence intervals, hypothesis testing, regression and analysis of variance; and,
5. Identify contexts in which particular statistical methods may be inappropriate.

## 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]

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](http://services.anu.edu.au/information-technology/software-systems/turnitin) 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

Incompatible with [STAT1008](https://programsandcourses.anu.edu.au/2026/course/STAT1008).

## Prescribed Texts

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

## Minors

- [Finance](https://programsandcourses.anu.edu.au/minor/FINM-MIN)

## Fees

Tuition fees are for the academic year indicated at the top of the page.

**Commonwealth Support (CSP) Students**\
If you 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). More information about your student contribution amount for each course at **[Fees](https://www.anu.edu.au/students/program-administration/fees-payments/student-contributions)**. 

Student Contribution Band:
:   [1](https://students.anu.edu.au/fees/domestic/csp.php)

Unit value:
:   6 units

If you are a **domestic graduate coursework student** with a Domestic Tuition Fee (DTF) place**or international student** you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at **[Fees](http://students.anu.edu.au/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](#indicative-fees__domestic)
[International](#indicative-fees__international)

Domestic fee paying students

| Year | Fee |
| --- | --- |
| 2026 | $4920 |

International fee paying students

| Year | Fee |
| --- | --- |
| 2026 | $7020 |

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

\

## Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the [Timetable webpage](https://www.anu.edu.au/students/program-administration/timetabling).

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.

[2026](#course-tab-1)

[2027](#course-tab-2)

### First Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 3358 | 23 Feb 2026 | 02 Mar 2026 | 31 Mar 2026 | 29 May 2026 | In Person | [View](https://programsandcourses.anu.edu.au/course/STAT1003/First%20Semester/3358) |

### First Semester

| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
| --- | --- | --- | --- | --- | --- | --- |
| 4720 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |