On successful completion of this module, students should:
Have a strong grasp of the fundamental statistical ideas of significance tests and confidence intervals, which underpin statistical analysis;
Be able to apply simple statistical methods to practical problems;
Be able to explain why statistical methods are so widely applied in both the natural and social sciences, engineering and business;
Have a sound basis for developing their knowledge of more advanced statistical ideas and methods;
Statistical tests and their properties;
Design and analysis of simple comparative studies for both binary and continuous variables;
Introductions to Analysis of Variance (ANOVA), regression and contingency tables
The theory will be illustrated by examples from biology, engineering, industry, medicine and the social sciences.
Extensive handouts (amounting to a course text) will be provided, so the following is for supplemental reading. The book is quite discursive, as it is oriented to a general, rather than a specifically mathematically orientated student readership. D.S. Moore and G.P. MCCabe, Introduction to The Practice of Statistics, Freeman, 5th edition, 2006
This module will be examined jointly with ST1251
in a 3-hour examination in Trinity term,
except that those taking just one of the
two modules will have a 2 hour examination. The supplemental exam will consist of 100% exam.