• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
• ANU College ANU College of Business and Economics
• Classification Transitional
• Course subject Statistics
• Areas of interest Statistics
• Course convener
• Dr Priya Dev
• Gen Nowak
• Mode of delivery In Person
• Co-taught Course
• Offered in First Semester 2023
Second Semester 2023
Spring Session 2023
Introductory Statistics for Business and Finance (STAT7055)

This course involves on-campus teaching. For students not on campus, there will be a remote option in Sem 1. See Class Summary or Wattle for details.

This course aims to facilitate an understanding of basic statistical techniques used for the analysis of financial and investment data.

## Learning Outcomes

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

1. Explain and use basic financial statistical techniques and concepts to analyse financial and investment data;
2. Solve problems using the principles of probability;
3. Recognise and use different statistical distributions;
4. Perform calculations and interpret results of a variety of estimation techniques;
5. Conduct and explain the results of a hypothesis test;
6. Carry out and interpret an analysis of variance test and compare the difference between two or more sets of data; and,
7. Apply and interpret regression models.

## Other Information

Offerings of this course outside of Semester 1 and Semester 2 are available only to students enrolled in the Master of Applied Data Analytics.

## Indicative Assessment

1. Typical assessment may include, but is not restricted to: exams, assignments, quizzes, presentations and other assessment as appropriate (100) [LO 1,2,3,4,5,6,7]

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 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time.

Not applicable

## Requisite and Incompatibility

Students canâ€™t enroll in this course if enrolled in the Master of Statistics, Master of Actuarial Studies or Master of Actuarial Practice. Incompatible with STAT1003 and STAT1008.

## Prescribed Texts

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

## 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

Student Contribution Band:
1
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.

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
2023 \$4320
International fee paying students
Year Fee
2023 \$6180
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.

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
2319 20 Feb 2023 27 Feb 2023 31 Mar 2023 26 May 2023 In Person View

### Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
5304 24 Jul 2023 31 Jul 2023 31 Aug 2023 27 Oct 2023 In Person N/A

### Spring Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
Intensive Course
6471 01 Oct 2023 20 Oct 2023 20 Oct 2023 31 Dec 2023 In Person N/A