35513 Statistical Methods6cp; Forms of attendance in this subject have changed to enable social distancing and reduce the risks of spreading COVID-19 in our community. There may also have been changes to the assessment requirements. Consequently, the Subject Outline information for this subject has changed. Details of the changes may be published in an Addendum to the Subject Outline which is available through your LMS (Blackboard or Canvas).
There are course requisites for this subject. See access conditions.
This subject gives an introduction to probability theory and statistics. Students learn how to describe random phenomena using the language of probability, and how this is applied in a statistical framework to solve real world problems. The first half of the subject introduces the students to important concepts in probability, such as random variables and their probability distributions. Fundamental properties such as expectations, independence and the Central Limit Theorem are discussed. The second half of the course introduces classical statistical inference and its connection to probability theory. Sampling distributions and their use in constructing confidence intervals and hypothesis testing are discussed. The course ends by introducing simple linear regression and analysis of variance techniques.
Detailed subject description.
Information to assist with determining the applicable fee type can be found at Understanding fees.
- Commonwealth-supported students: view subject fees at Fees Search: Commonwealth-supported
- Postgraduate domestic fee-paying students: fees are charged according to the course enrolled in; refer to Domestic Fees Search: Postgraduate and Research
- International students: fees are charged according to the course enrolled in; refer to International Fees Search
- Subject EFTSL: 0.125