THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Statistics (Year 2) (MATH08051)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 8 (Year 2 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummarySummary 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.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Probability (MATH08066)
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Probability with Applications (MATH08067)
Other requirements None
Information for Visiting Students
Pre-requisitesNone
Course Delivery Information
Academic year 2015/16, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 20, Seminar/Tutorial Hours 5, Supervised Practical/Workshop/Studio Hours 2, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 69 )
Additional Information (Learning and Teaching) Students must pass exam and course overall.
Assessment (Further Info) Written Exam 85 %, Coursework 15 %, Practical Exam 0 %
Additional Information (Assessment) Coursework 15%, Examination 85%
Feedback Not entered
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
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.
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.
Reading List
Recommended but not essential:
(1)Statistics, Principles and Methods Richard A Johnson, 6th International Edition £181.99 ISBN: 9780470505779

See the following links:

Paperback:
http://www.readinglists.co.uk/sv/33437

ebook rental (360 days) £30.00:
http://bookshop.blackwell.co.uk/jsp/shopping_cart.jsp?action=addCS&prodid=9780470505779

(2) Clarke, G. M. and Cooke D. (2004) A basic course in statistics. 5th revised
edition. London : John Wiley and Sons Ltd. (QA276.12 Cla, on reserve in
the Darwin Library); referred to as C&C. Available online from Blackwells
for £32.99; search using the ISBN 9780470973875 or http://bookshop.blackwell.co.uk/jsp/id/A_Basic_Course_in_Statistics/9780470973875
Additional Information
Course URL https://info.maths.ed.ac.uk/teaching.html
Graduate Attributes and Skills Not entered
KeywordsSta2
Contacts
Course organiserProf Colin Aitken
Tel: (0131 6)50 4877
Email:
Course secretaryMr Martin Delaney
Tel: (0131 6)50 6427
Email:
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