STAT2702 Probability - Flinders University

You are viewing an older version of this curriculum item. Select the current year or your commencing year of study from the drop down above. For Pre-2022 Course Rules, use the link located on the right-hand side of the screen.

Overview

This topic examines: the set-theoretic formulation of events and Kolmogorov's axioms of probability; counting techniques; conditional probability and independence; discrete distributions, including binomial, geometric, negative binomial, hypergeometric and Poisson; continuous distributions, including uniform, exponential, gamma, normal and Cauchy; expectation, mean and variance; probability and moment generating functions; several random variables; … For more content click the Read More button below.

This topic examines: the set-theoretic formulation of events and Kolmogorov's axioms of probability; counting techniques; conditional probability and independence; discrete distributions, including binomial, geometric, negative binomial, hypergeometric and Poisson; continuous distributions, including uniform, exponential, gamma, normal and Cauchy; expectation, mean and variance; probability and moment generating functions; several random variables; correlation; bivariate distributions, including trinomial and bivariate normal distributions; the mean and variance of a random sample; limit theorems, including the central limit theorem.

Topic availabilities

To view topic availabilities, select an availability from the drop down, towards the top right of the screen.

Tuition pattern

To view tuition patterns, select an availability from the drop down, towards the top right of the screen.

Aims

This topic aims to introduce students to the mathematical development and applications of elementary probability theory.

Learning outcomes

On completion of this topic you will be expected to be able to:

Understand the conceptual foundations of elementary probability theory

Understand mathematical arguments and proofs relevant to elementary probability theory

Understand standard families of discrete and continuous probability distributions

Solve applied problems requiring the techniques of elementary probability theory and the standard families of discrete and continuous probability distributions

Assessments

To view assessment information, select an availability from the drop down, towards the top right of the screen.

Current students should refer to FLO for detailed assessment information, including due dates. Assessment information is accurate at the time of publishing.

For policy details, visit Assessments

Requisites information

Pre-requisites:

Anti-requisites:

Handbook

Probability

STAT2702