Elementary Statistical Theory
This information is for the 2018/19 session.
Dr James Abdey COL.5.10
This course is compulsory on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Economics and Economic History, BSc in Economics with Economic History, BSc in Finance, BSc in Financial Mathematics and Statistics, BSc in Mathematics and Economics, BSc in Mathematics with Economics, BSc in Mathematics, Statistics, and Business and BSc in Statistics with Finance. This course is available on the BSc in Accounting and Finance, BSc in Philosophy and Economics and BSc in Philosophy, Politics and 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 ST107 Quantitative Methods (Statistics) or ST108 Statistical Methods for the Social Sciences.
No previous knowledge of statistics is assumed.
The course provides a precise and accurate treatment of introductory probability theory, statistical ideas, methods and techniques. Topics covered are data visualisation and descriptive statistics, probability theory, random variables, common distributions of random variables, multivariate random variables, sampling distributions of statistics, point estimation, interval estimation, hypothesis testing, analysis of variance (ANOVA), linear regression, nonparametric tests, goodness-of-fit and independence tests.
22 hours of lectures, 13 hours and 30 minutes of classes and 11 hours of workshops in the MT. 20 hours of lectures, 16 hours and 30 minutes of classes and 10 hours of workshops in the LT. 2 hours of lectures in the ST.
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 (2013) Introduction to Mathematical Statistics and Its Applications (fifth edition), Pearson (earlier editions are also fine).
Exam (75%, duration: 3 hours) in the summer exam period.
Exam (25%, duration: 1 hour, reading time: 10 minutes) in the January exam period.
Student performance results
(2015/16 - 2017/18 combined)
|Classification||% of students|
Total students 2017/18: 602
Average class size 2017/18: 16
Capped 2017/18: No
Lecture capture used 2017/18: Yes (MT & LT)
Value: One Unit
- Problem solving
- Application of numeracy skills