ST110      Half Unit
Elementary Statistical Theory II

This information is for the 2023/24 session.

Teacher responsible

Dr James Abdey COL.8.07

Availability

This course cannot be taken with ST102 Elementary Statistical Theory or ST107 Quantitative Methods (Statistics).

Pre-requisites

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

A-level Mathematics.

Course content

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.

Teaching

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

This course will be delivered through a combination of classes, lectures and workshops totalling a minimum of 45 hours in Winter Term. This course does not include a reading week.

Formative coursework

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

Indicative reading

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).

Assessment

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

Key facts

Department: Statistics

Total students 2022/23: Unavailable

Average class size 2022/23: Unavailable

Capped 2022/23: No

Lecture capture used 2022/23: Yes (LT)

Value: Half Unit

Guidelines for interpreting course guide information

Course selection videos

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

Personal development skills

  • Problem solving
  • Application of numeracy skills