Undergraduate Course: Statistics and Experimental Design (LASC10033)
Course Outline
| School | School of Philosophy, Psychology and Language Sciences | 
College | College of Humanities and Social Science | 
 
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) | 
Availability | Available to all students | 
 
| SCQF Credits | 20 | 
ECTS Credits | 10 | 
 
 
| Summary | An 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
    
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Information for Visiting Students 
| Pre-requisites | Visiting 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
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| Academic year 2015/16, Available to all students (SV1) 
  
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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 )
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| Assessment (Further Info) | 
 
  Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
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| 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. 
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| Feedback | 
Not entered | 
 
| Exam Information | 
 
    | Exam Diet | 
    Paper Name | 
    Hours & Minutes | 
    
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| Main Exam Diet S1 (December) | Statistics and Experimental Design | 2:00 |  |  
 
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.
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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 | 
 
| Keywords | Not entered | 
 
 
Contacts 
| Course organiser | Dr Ellen Bard 
Tel: (0131 6)50 3951 
Email:  | 
Course secretary | Mrs Francesca Kerr-Dineen 
Tel: (0131 6)50 3961 
Email:  | 
   
 
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