Undergraduate Course: Statistics (Year 2) (MATH08051)
Course Outline
School | School of Mathematics |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) |
Availability | Available to all students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | Summary statistics, sampling distributions, hypothesis testing,
interval estimation, likelihood, analysis of categorical data, joint,
marginal and conditional distributions, ANOVA and regression
The computer program R will be introduced through a two-hour
practical near the beginning of the course. Its use will be
supported with examples in lectures and tutorials with
supplementary material on the course website. |
Course description |
Not entered
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Information for Visiting Students
Pre-requisites | None |
Course Delivery Information
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Academic year 2015/16, Available to all students (SV1)
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Quota: None |
Course Start |
Semester 2 |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Seminar/Tutorial Hours 5,
Supervised Practical/Workshop/Studio Hours 2,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )
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Additional Information (Learning and Teaching) |
Students must pass exam and course overall.
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Assessment (Further Info) |
Written Exam
85 %,
Coursework
15 %,
Practical Exam
0 %
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Additional Information (Assessment) |
Coursework 15%, Examination 85% |
Feedback |
Not entered |
Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
|
Main Exam Diet S2 (April/May) | MATH08051 Statistics (Year 2) | 2:00 | | Resit Exam Diet (August) | MATH08051 Statistics (Year 2) | 2:00 | |
Learning Outcomes
Knowledge of common statistical procedures, and their implementation in a statistical package.
Understanding of randomness and, in particular, sampling distributions.
Ability to conduct simple inferential procedures and to exercise diagnostic and interpretative skills.
Ability to interpret likelihood analyses.
Ability to fit, criticise and predict from simple linear regression and one-way classification models.
Ability to interpret test statistics and significance probabilities.
Facility with the R statistical package for methods of inference developed in the course.
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Reading List
Recommended but not essential:
(1)Statistics, Principles and Methods Richard A Johnson, 6th International Edition £181.99 ISBN: 9780470505779
See the following links:
Paperback:
http://www.readinglists.co.uk/sv/33437
ebook rental (360 days) £30.00:
http://bookshop.blackwell.co.uk/jsp/shopping_cart.jsp?action=addCS&prodid=9780470505779
(2) Clarke, G. M. and Cooke D. (2004) A basic course in statistics. 5th revised
edition. London : John Wiley and Sons Ltd. (QA276.12 Cla, on reserve in
the Darwin Library); referred to as C&C. Available online from Blackwells
for £32.99; search using the ISBN 9780470973875 or http://bookshop.blackwell.co.uk/jsp/id/A_Basic_Course_in_Statistics/9780470973875 |
Contacts
Course organiser | Prof Colin Aitken
Tel: (0131 6)50 4877
Email: |
Course secretary | Mr Martin Delaney
Tel: (0131 6)50 6427
Email: |
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© Copyright 2015 The University of Edinburgh - 27 July 2015 11:34 am
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