Foundations of Probability Theory
This unit introduces the key concepts in probability and distribution theory, including probability laws, random variables, expectation and variance, conditional probabilities, functions of random variables and multivariate probability distributions. Emphasis is placed on theoretical understanding combined with problem solving using algebra and calculus-based methods.
|Faculty||Faculty of Health and Medicine|
|School||School of Medicine and Public Health|
Semester 2 - 2017
(Distance Education - Callaghan)
On successful completion of this course, students will be able to:
This subject presents an overview of the probability and distribution theory required to understand statistical inference. Students will study the basic theory and laws of probability. They will then be introduced to random variables and gain an understanding of their properties through studying univariate probability distributions. Multivariate distributions will then be introduced, together with conditional probabilities, methods for evaluating the joint behaviour of multiple random variables, and functions of random variables. Principles of statistical estimation will be discussed and key properties of statistical estimators defined. Students will also gain basic experience in the use of simulation methods to understand statistical concepts.
|Timetable||2017 Course Timetables for BIOS6170|