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Dr James Abdey COL.5.10

This course is compulsory on the BSc in Econometrics and Mathematical Economics and BSc in Economics. This course is available as an outside option to students on other programmes where regulations permit and to General Course students.

This course cannot be taken with ST102 Elementary Statistical Theory, ST107 Quantitative Methods (Statistics) or ST108 Statistical Methods for the Social Sciences.

A-level Mathematics.

No previous knowledge of statistics is assumed.

The course provides a precise and accurate treatment of introductory probability and distribution theory. Topics covered are data visualisation and descriptive statistics, probability theory, random variables, common distributions of random variables and multivariate random variables.

22 hours of lectures, 15 hours of classes and 10 hours of workshops in the MT.

This course will be delivered through a combination of classes, lectures and workshops totalling a minimum of 45 hours in Michaelmas Term. This year, some or all of this teaching may be delivered through a combination of virtual classes and flipped-lectures/workshops delivered as short online videos. This course does not include a reading week.

Weekly exercises will be set and students are expected to submit solutions to their class teacher each week for feedback. 

All course materials are made available via Moodle, including notes to accompany the lectures, but this can be supplemented with additional background reading. The recommended supplementary text is:

Larsen R.J. and M.L. Marx (2017) Introduction to Mathematical Statistics and Its Applications (sixth edition), Pearson (earlier editions are also fine).

Exam (100%, duration: 2 hours, reading time: 10 minutes) in the January exam period.

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.