Undergraduate Course: Statistics (Yr 3) (MATH09022)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 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 |
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.
|
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
|
| Academic year 2014/15, Available to all students (SV1)
|
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 )
|
| Assessment (Further Info) |
Written Exam
75 %,
Coursework
25 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 25%, Examination 75% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | MATH09022 Statistics (Year 3) | 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.
- Ability to analyse data using R and interpret the outcome.
|
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 |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Study Abroad |
Not Applicable. |
| Keywords | StaY3 |
Contacts
| Course organiser | Prof Colin Aitken
Tel: (0131 6)50 4877
Email: C.G.G.Aitken@ed.ac.uk |
Course secretary | Mrs Kathryn Mcphail
Tel: (0131 6)50 4885
Email: k.mcphail@ed.ac.uk |
|
© Copyright 2014 The University of Edinburgh - 12 January 2015 4:21 am
|
University Homepage