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Overview

As for MATH2801 but in greater depth:This course provides an introduction to the theoretical underpinning of statistics; it covers fundamental results from probability and distribution theory and shows how to apply the theory to the analysis of data. Topics include: Random variables, univariate and bivariate distributions. Transformations of random variables. Convergence of random variables, the sampling distribution and the Central Limit Theorem. Estimation and inference including moment and likelihood estimation, interval estimation, and hypothesis testing.

Study Level

Undergraduate

Offering Terms

Term 2

Campus

Kensington

Delivery Mode

Fully on-site

Indicative contact hours

6

Conditions for Enrolment

Prerequisite: MATH1231 or MATH1241 or MATH1251 or DPST1014; Exclusion: MATH2089; MATH2099; MATH2801; MATH2901; BEES2041; BIOS2041;CVEN2002.

Course Outline

To access course outline, please visit:

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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