Undergraduate Course: Applied Statistics (MATH10096)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | NB. This course is delivered *biennially* with the next instance being in 2018-19. It is anticipated that it would then be delivered every other session thereafter.
The course will focus on applied Statistical techniques for analysing data and conducting hypothesis tests, including goodness of fit tests and nonparametric tests. |
| Course description |
Topics to be covered include :
- goodness of fit tests;
- tests of independence/homogeneity;
- randomisation tests; and
- nonparametric tests.
|
Information for Visiting Students
| Pre-requisites | Visiting students are advised to check that they have studied the material covered in the syllabus of any pre-requisite course listed above before enrolling. |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2018/19, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )
|
| Assessment (Further Info) |
Written Exam
95 %,
Coursework
5 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 5%, Examination 95% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | MATH10096 Applied Statistics | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Specify appropriate hypotheses for scientific tests.
- Apply appropriate statistical tests to a range of different forms of data and associated hypotheses.
- Conduct hypothesis tests in R and interpret the results accordingly.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | ASta,Applied,Statistics |
Contacts
| Course organiser | Dr Serveh Sharifi Far
Tel: (0131 6)50 5051
Email: Serveh.Sharifi@ed.ac.uk |
Course secretary | Mrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: Alison.Fairgrieve@ed.ac.uk |
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