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

Undergraduate Course: Statistical Methods (MATH08009)

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 Specialist Mathematics & Statistics (Year 2)
Course website http://student.maths.ed.ac.uk Taught in Gaelic? No
Course description Core second year course for Honours Degrees including Statistics.

Syllabus summary: Descriptive statistics; scatter diagrams, correlation; sample means and variances. Statistical concepts, sampling distributions. Expectation and variance of common distributions and statistics. Introduction to estimation and hypothesis testing.
Entry Requirements
Pre-requisites Students MUST have passed: ( Practical Calculus (MATH08001) AND Solving Equations (MATH08002) AND Geometry & Convergence (MATH08003) AND Group Theory: An Introduction to Abstract Mathematics (MATH08004)) OR ( Applicable Mathematics 1 (MATH08027) AND Mathematical Methods 1 (MATH08029) AND Applicable Mathematics 2 (MATH08031) AND Mathematical Methods 2 (MATH08032)) OR ( Mathematics for Informatics 1a (MATH08046) AND Mathematics for Informatics 1b (MINF08001) AND Mathematics for Informatics 2a (MINF08002) AND Mathematics for Informatics 2b (MATH08047))
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisites None
Displayed in Visiting Students Prospectus? Yes
Course Delivery Information
Delivery period: 2010/11 Semester 1, Available to all students (SV1) WebCT enabled:  Yes Quota:  0
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
King's BuildingsLecture1-11 14:00 - 14:50
King's BuildingsLecture1-11 14:00 - 14:50
First Class First class information not currently available
Additional information Tutorials: one of Th 1610-1700, Fri 0900-0950 or 1000-1050
Exam Information
Exam Diet Paper Name Hours:Minutes Stationery Requirements Comments
Resit Exam Diet (August)2:00graph / No YAF
Summary of Intended Learning Outcomes
1. Knowledge of common descriptive statistical procedures, and how they can be implemented in a statistical package.
2. Understanding of randomness and, in particular, sampling distributions.
3. Ability to conduct simple inferential procedures and to exercise diagnostic and interpretative skills.
Assessment Information
Coursework: 15%; Degree 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 SMe
Contacts
Course organiser Mr Michael Prentice
Tel: (0131 6)50 4876
Email: M.Prentice@ed.ac.uk
Course secretary Mr Martin Delaney
Tel: (0131 6)50 6427
Email: Martin.Delaney@ed.ac.uk
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copyright 2011 The University of Edinburgh - 31 January 2011 7:58 am