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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2016/2017

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DRPS : Course Catalogue : School of Social and Political Science : School (School of Social and Political Studies)

Undergraduate Course: Dealing with Statistical Data (SSPS07002)

Course Outline
SchoolSchool of Social and Political Science CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 7 (Year 1 Undergraduate) AvailabilityNot available to visiting students
SCQF Credits0 ECTS Credits0
SummaryThis course is for HSS International Foundation Programme and Open Studies students only. It is not available to undergraduate students. Students enrolled for many social science courses will need to understand ¿ and be ready to question and challenge ¿ the use of statistics in their subject area. A solid grounding in descriptive statistics means that subsequently it is easier for students to understand concepts in inferential statistics. This course will provide an introduction to interpreting and understanding data, data types and methods for summarising and presenting data. It will use software rather than asking students to perform manual calculations, allowing the focus to be on meaning, interpretation and understanding, rather than algebra and mathematics.

This course is designed for students on the HSS International Foundation Programme and for Open Studies students in the Office of Lifelong Learning. A pass in this course will be a requirement for progression to Business Studies, Psychology and Social Work degrees.
Course description Week 1 Statistics in the media

Week 2 Surveys and identify research question(s)

Week 3 Questionnaire design

Week 4 Introduction to computer analysis system

Week 5 Data analysis and interpretation

Week 6 Data analysis and interpretation

Week 7 An introduction to probability and the concept of statistical significance

Week 8 Class presentations
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2016/17, Not available to visiting students (SS1) Quota:  10
Course Start Lifelong Learning - Session 3
Timetable Timetable
Learning and Teaching activities (Further Info) Please contact the School directly for a breakdown of Learning and Teaching Activities
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Students will undertake a survey and present their findings. This involves:

1. Group survey design and data collection
2. Group presentation focused on agreed element of the data
3. Framing, asking and responding to individual questions when results are presented.

To pass, students must participate in each of these stages and achieve a minimum of 40%.
Feedback Not entered
No Exam Information
Learning Outcomes
By the end of this course, students should be able to:

¿ explain about different types of data and the need for appropriate analysis;
¿ discuss issues of sampling fluctuation or error;
¿ use a computer analysis package and interpret computer generated output;
¿ use basic descriptive statistics appropriately;
¿ critically interpret graphs, charts and other summary statistics;
¿ construct a survey instrument for a specific research question; and
¿ question and challenge some statistical claims.
Reading List
Students will be given access to web-based materials.
Additional Information
Graduate Attributes and Skills Exercising informed critical judgement about statistical information.
IT skills, numeracy and data handling, interpersonal and group work skills.
Group presentation skills.
KeywordsNot entered
Contacts
Course organiserMr James Mooney
Tel: (0131 6)50 3077
Email: james.mooney@ed.ac.uk
Course secretaryMiss Zofia Guertin
Tel: (0131 6)51 1855
Email: Zofia.Guertin@ed.ac.uk
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