THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Statistics (Yr 3) (MATH09022)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 9 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummarySummary statistics, sampling distributions, hypothesis testing, interval estimation, analysis of categorical data, ANOVA and regression. The computer program R will be introduced through a two-hour practical around the middle of the course. Its use will be supported with examples in lectures and tutorials with supplementary material on the course website.
Course description Summary statistics, sampling distributions, hypothesis testing, interval estimation, analysis of categorical data, ANOVA and regression. The computer program R will be introduced through a two-hour practical around the middle of the course. Its use will be supported with examples in lectures and tutorials with supplementary material on the course website.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Probability (MATH08066) OR Probability with Applications (MATH08067)
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Statistics (Year 2) (MATH08051)
Other requirements None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
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 )
Assessment (Further Info) Written Exam 75 %, Coursework 25 %, Practical Exam 0 %
Additional Information (Assessment) Coursework 25%, Examination 75%
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)MATH09022 Statistics (Year 3)2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. Knowledge of common statistical procedures, and their implementation 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.
  4. Ability to fit, criticise and predict from simple linear regression,one-way classification models and cross-classifications.
  5. Ability to interpret test statistics and significance probabilities.
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
Graduate Attributes and Skills Not entered
Study Abroad Not Applicable.
KeywordsStaY3
Contacts
Course organiserProf Ruth King
Tel: (0131 6)50 5947
Email: Ruth.King@ed.ac.uk
Course secretaryMr Thomas Robinson
Tel: (0131 6)50 4885
Email: Thomas.Robinson@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information
 
© Copyright 2015 The University of Edinburgh - 18 January 2016 4:24 am