Lecturer(s): Dr Panayiota Constantinou
Commitment: 2 lecture hours, 2 hours computer workshop per week for 10 weeks, starting from week 1. This module runs in Term 1 and is weighted at 15 CATS.
Summary: Students on the Diploma and MSc often have diverse academic backgrounds. This module complements ST903 Statistical Methods in giving a common starting point to the programme, with an emphasis on learning skills in practical statistics.
A short 'mock exam' will be held at the beginning of the course. This is intended for students to use as a focus for revision, and as an introduction to the UK style of written exam.
Content: The main focus of the course is the application of statistical techniques in a practical setting. The emphasis will be on selecting an appropriate analysis strategy, implementing this strategy using statistical software (currently R), then interpreting, validating and communicating the results. Teaching is generally by two lecture hours and one 2-hour computer workshop each week. The course is assessed by two written projects and a written exam.
Books: Problem Solving: A Statistician’s Guide, C Chatfield, Chapman &Hall, 1995, 2nd Ed.
Stat Labs: Mathematical Statistics through Applications, D Nolan and T Speed, Springer, 2000.
Applied Statistics: Principles and Examples, D R Cox and E J Snell, Chapman & Hall 1981;
Modern Applied Statistics with S-Plus, W Venables and B Ripley.
Assessment: 25% Assignment 1, 25% Assignment 2 and 50% on a 2-hour written exam.
Deadline: Assignment 1 (25%): Thursday of week 6 and Assignment 2 (25%): Thursday of week 10.
Feedback: Feedback on both assignments will be returned within 20 working days, following submission.
Resources for Current ST952 Students