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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
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DRPS : Course Catalogue : School of Philosophy, Psychology and Language Sciences : Language Sciences

Undergraduate Course: Statistics and Experimental Design (LASC10033)

Course Outline
SchoolSchool of Philosophy, Psychology and Language Sciences CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryAn introduction to good design and analysis of scientific studies of behaviour, the course covers issues in experimental design, descriptive statistics, and inferential statistics. Students will have extensive practice using a statistical package.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: LEL2B: Phonetic Analysis and Empirical Methods (LASC08018)
Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesVisiting students should have at least 3 Linguistics/Language Sciences courses at grade B or above (or be predicted to obtain this). We will only consider University/College level courses.
Course Delivery Information
Academic year 2014/15, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 22, Supervised Practical/Workshop/Studio Hours 9, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 163 )
Assessment (Further Info) Written Exam 50 %, Coursework 50 %, Practical Exam 0 %
Additional Information (Assessment) Assessment information:
Project (50%). The project will be delivered in two parts, weighted at 5% and 45% of the total course assessment.
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)Statistics and Experimental Design2:00
Learning Outcomes
An understanding of internal and external validity, pertinent experimental designs, data as distributions; a grasp of statistical inference, ability to employ a statistical package to run commonly used descriptive and inferential statistics, and to interpret the results.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
Additional Class Delivery Information Teaching Contact Time:
RUNS FOR 10 WEEKS. 4 lecture hours in week 1, 2 LECTURE HOURS IN weeks 2-10, + PRACTICAL HOURS IN 9 WEEKS. = 22 + 9 = 31 HOURS
KeywordsNot entered
Contacts
Course organiserDr Ellen Bard
Tel: (0131 6)50 3951
Email: e.bard@ed.ac.uk
Course secretaryMrs Francesca Kerr-Dineen
Tel: (0131 6)50 3961
Email: f.kerr-dineen@ed.ac.uk
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