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Module ST1252: Introduction to Statistics II

Credit weighting (ECTS)
5 credits
Semester/term taught
Hilary term 2012-13
Contact Hours
11 weeks, 3 lectures including tutorials per week
Lecturer
Prof. Eamonn Mullins (Statistics)
Learning Outcomes
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;
Module Content
  • Statistical variation;
  • Parameter estimation;
  • 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.
Module Prerequisite
ST1251
Recommended Reading 
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
 
Assessment Detail
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.