• 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 Finance, Statistics
  • Academic career PGRD
  • Course convener
    • AsPr Hanlin Shang
    • Gen Nowak
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2019
    Second Semester 2019
    Spring Session 2019
    See Future Offerings

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

Other Information

STAT7055 in Spring Session (intensive mode) is scheduled for the students of Master of Applied Data Analytics. CBE students should enrol the course offered either at Semester 1 or 2.

Indicative Assessment

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

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

Not applicable

Requisite and Incompatibility

Students can’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.

Specialisations

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
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

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
2758 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
7725 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person View

Spring Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8606 30 Sep 2019 04 Oct 2019 18 Oct 2019 29 Nov 2019 In Person View

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