• 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
  • Academic career PGRD
  • Course convener
    • Gen Nowak
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2020
    Second Semester 2020
    Spring Session 2020
    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 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.

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

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.

Prescribed Texts

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

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
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
2493 24 Feb 2020 02 Mar 2020 31 Mar 2020 29 May 2020 In Person N/A

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7462 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 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
9555 05 Oct 2020 TBA TBA 04 Dec 2020 In Person N/A

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