Undergraduate Course: Statistics (Year 2) (MATH08051)
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 8 (Year 2 Undergraduate) |
Credits | 10 |
| Home subject area | Mathematics |
Other subject area | None |
| Course website |
https://info.maths.ed.ac.uk/teaching.html |
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: 2013/14 Semester 2, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
Web Timetable |
Web Timetable |
| Course Start Date |
13/01/2014 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 4,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
70 )
|
| Additional Notes |
Students must pass exam and course overall.
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
85 %,
Coursework
15 %,
Practical Exam
0 %
|
| 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 | | |
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
| See 'Breakdown of Assessment Methods' and 'Additional Notes' above. |
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
|
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Sta2 |
Contacts
| Course organiser | Prof Colin Aitken
Tel: (0131 6)50 4877
Email: C.G.G.Aitken@ed.ac.uk |
Course secretary | Mr Martin Delaney
Tel: (0131 6)50 6427
Email: Martin.Delaney@ed.ac.uk |
|
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|
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