Dr James Abdey COL.5.10

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

Students must have completed Elementary Statistical Theory I (ST109).

A-level Mathematics.

The course provides a precise and accurate treatment of statistical ideas, methods and techniques. Topics covered are sampling distributions of statistics, point estimation, interval estimation, hypothesis testing, analysis of variance (ANOVA) and linear regression.

20 hours of lectures, 15 hours of classes and 10 hours of workshops in the LT. 2 hours of lectures in the ST.

This course will be delivered through a combination of classes, lectures and workshops totalling a minimum of 90 hours in Lent 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 summer exam period.

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