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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Statistics (Year 3) (MATH08052)

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 3 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.
Entry Requirements
Pre-requisites Students MUST have passed: Probability (Year 2) (MATH08008)
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisites None
Displayed in Visiting Students Prospectus? No
Course Delivery Information
Delivery period: 2010/11 Semester 2, Available to all students (SV1) WebCT enabled:  Yes Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
No Classes have been defined for this Course
First Class First class information not currently available
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
Examination 85%; coursework 15%.
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 Sta(3)
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
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copyright 2011 The University of Edinburgh - 31 January 2011 7:58 am