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Module ST1252: Introduction to Statistics II
- Credit weighting (ECTS)
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5 credits
- Semester/term taught
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Hilary term 2012-13
- Contact Hours
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11 weeks, 3 lectures including tutorials per week
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- Lecturer
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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
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- 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
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- Assessment Detail
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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.