Undergraduate Course: Statistics (Year 3) (MATH09021)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Credits | 10 |
| Home subject area | Mathematics |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| 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 |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
|
| Delivery period: 2011/12 Semester 2, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Lecture | Th B, JCMB | 1-11 | 14:00 - 14:50 | | | | | | King's Buildings | Lecture | Th B, JCMB | 1-11 | | | | 14:00 - 14:50 | |
| First Class |
Week 1, Monday, 14:00 - 14:50, Zone: King's Buildings. Th B, JCMB |
| Additional information |
Tutorials: one of:
Thu 15:00, 16:10 Fri 9:00, 10:00
JCMB, room as advised
|
| No Exam Information |
Summary of Intended 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.
- Facility with bivariate, marginal and conditional distributions.
- 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. |
Assessment Information
| Coursework 15%; examination 85% |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
See the following links:
http://www.readinglists.co.uk/sv/33437
http://www.readinglists.co.uk/sv/33436 |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Sta3 |
Contacts
| Course organiser | Prof Colin Aitken
Tel: (0131 6)50 5062
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 2011 The University of Edinburgh - 16 January 2012 6:24 am
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