MATH2801 is a Mathematics Level II course. 

Units of credit: 6

Prerequisites: MATH1231 or MATH1241 or MATH1251 or DPST1014 

Exclusions: Students who have studied another introductory statistics course that has a theoretical focus: MATH2089, MATH2099, MATH2859, MATH2901, BEES2041, ECON3209, CVEN2002

Cycle of offering: Term 2 

Graduate attributes: The course will enhance your research, inquiry and analytical thinking abilities.

More information: The Course Outline contains information about course objectives, assessment, course materials and the syllabus.

Important additional information as of 2023

UNSW Plagiarism Policy

The University requires all students to be aware of its policy on plagiarism.

For courses convened by the School of Mathematics and Statistics no assistance using generative AI software is allowed unless specifically referred to in the individual assessment tasks.

If its use is detected in the no assistance case, it will be regarded as serious academic misconduct and subject to the standard penalties, which may include 00FL, suspension and exclusion.

The Online Handbook entry contains up-to-date timetabling information.

If you are currently enrolled in MATH2801, you can log into UNSW Moodle for this course.

Course aims

This course is an introduction to the theoretical underpinnings of statistics, essential knowledge for anyone considering a career in quantitative modelling or data analysis. Students will learn probability and distribution theory on which modern statistical practice is founded, and how to apply it to answer important practical questions raised in medical research, ecology, the media and more.

Course description

Probability, random variables, standard distributions, bivariate distributions, transformations, central limit theorem, sampling distributions, point estimation, interval estimation, hypothesis testing.