Module Descriptor School of Computer Science and Statistics
|Module Name||INTRODUCTION TO STATISTICS II|
|Module Short Title|
|Semester Taught||Hilary term|
|Contact Hours||Lecture hours: 22Lab hours: 2Tutorial hours: 9Total hours:33|
|Module Personnel||Lecturer - Arthur White|
On successful completion of this module students should:
To introduce students to the elementary ideas of statistical inference and the use of simple statistical methods in practical situations
The theory will be illustrated by examples from biology, engineering, industry, medicine and the social sciences.
|Recommended Reading List|
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 oriented student readership.
D.S. Moore and G. P. McCabe, Introduction to the practice of statistics, Freeman, 5th edition, 2006
% Exam: 100% or %Coursework: 20% + 80% Exam.
Description of assessment & assessment regulations. The final mark is either the examination mark or a weighted average of examination and coursework, whichever is higher.
|Academic Year of Data|