ST107 Half Unit
Quantitative Methods (Statistics)
This information is for the 2018/19 session.
Teacher responsible
Dr James Abdey COL.5.10
Availability
This course is compulsory on the BSc in Environmental Policy with Economics, BSc in Geography with Economics, BSc in Management and BSc in Social Policy and Economics. This course is available on the BSc in Accounting and Finance, BSc in Government and Economics, BSc in Philosophy and Economics, BSc in Philosophy, Politics and Economics, BSc in Politics and Economics and Diploma in Accounting and Finance. 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 or ST108 Statistical Methods for the Social Sciences.
Pre-requisites
A-level Mathematics.
Course content
The elementary statistical tools necessary for further study in management and economics with an emphasis on the applicability of the methods to management and economic problems. Topics covered are data visualisation and descriptive statistics, probability theory, discrete probability distributions, continuous probability distributions, sampling distributions of statistics, point estimation, interval estimation, hypothesis testing, contingency tables and the chi-squared test, correlation and linear regression.
Teaching
20 hours of lectures, 10 hours of classes and 10 hours of workshops in the LT. 2 hours of lectures in the ST.
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:
Newbold, P., W.L. Carlson and B.M. Thorne (2012) Statistics for Business and Economics. (Eighth edition), Pearson (earlier editions are also fine).
Assessment
Exam (100%, duration: 2 hours) in the summer exam period.
Student performance results
(2015/16 - 2017/18 combined)
Classification | % of students |
---|---|
First | 42 |
2:1 | 19.6 |
2:2 | 15.6 |
Third | 12 |
Fail | 10.8 |
Key facts
Department: Statistics
Total students 2017/18: 409
Average class size 2017/18: 15
Capped 2017/18: No
Lecture capture used 2017/18: Yes (LT)
Value: Half Unit
PDAM skills
- Problem solving
- Application of numeracy skills