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 | | 1-11 | 14:00 - 14:50 | | | | | | King's Buildings | Lecture | | 1-11 | | | | 14:00 - 14:50 | |
| First Class |
Week 18, Monday, 14:00 - 14:50, Zone: King's Buildings. Lecture - Week 1 - Mon 16 Jan 2012 |
| 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 |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords |
Sta3 |
Contacts
| Course organiser |
Dr Adri Olde-Daalhuis
Tel: (0131 6)50 5992
Email: A.OldeDaalhuis@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 -
1 September 2011 6:25 am
|
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