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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2012/2013

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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 (not applicable to Visiting Students)
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: 2012/13 Semester 1, Available to all students (SV1)						WebCT enabled: Yes		Quota: 0
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
Exam Information
Exam Diet	Paper Name		Hours:Minutes
Resit Exam Diet (August)			2:00

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	Dr Nikolaos Bournaveas Tel: (0131 6)50 5063 Email:	Course secretary	Mr Martin Delaney Tel: (0131 6)50 6427 Email:

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