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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2020/2021

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

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DRPS : Course Catalogue : Centre for Open Learning : Social and Political Science

Undergraduate Course: Challenges in Statistics (LLLJ07017)

Course Outline
SchoolCentre for Open Learning CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 7 (Year 1 Undergraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryStatistical reasoning is important for the successful study of a number of undergraduate degree subjects, and for understanding and interpreting statistics in the media and in research reports. Through practical exercises and challenges, the course will build students' skills in evaluating the authenticity and reliability of data, and in designing survey questions and collecting, analysing and presenting data of their own as well as secondary digital data.
Course description The course will provide an introduction to interpreting and understanding data, data types and methods for summarising and presenting data.

By working through challenges and practical exercises, Challenges in Statistics will explore topics such as how to spot leading and misleading questions and bias in samples and the difference between correlation and causation. Through practical exercises and reading, students will learn about questionnaire design, sampling methods, data collection, and summary statistics.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2020/21, Not available to visiting students (SS1) Quota:  50
Course Start Lifelong Learning - Session 3
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 40, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 58 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Quiz 1 (15%)
Quiz 2 (15%)
2000 word essay (70%)

Directed reading (websites, texts, articles) and activities will be set between classes to prepare students for the next interactive class session.
Feedback Students will receive written feedback on their work.
No Exam Information
Academic year 2020/21, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 60, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 38 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Quiz 1 (15%)
Quiz 2 (15%)
2000 word essay (70%)

Directed reading (websites, texts, articles) and activities will be set between classes to prepare students for the next interactive class session.
Feedback Students will receive written feedback on their work.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. As part of a group, design and carry out a study to answer specific questions (pose problem, collect data according to a plan, analyze data, draw conclusions from data).
  2. Present and explain data in an appropriate and meaningful manner.
  3. Evaluate and question statistical ideas.
  4. Develop data analysis skills by using statistical software.
Reading List
None
Additional Information
Graduate Attributes and Skills By the end of the course, students should have strengthened their skills in: data analysis; evaluating and questioning statistical ideas; participating in group work.
KeywordsNot entered
Contacts
Course organiserDr Anya Clayworth
Tel:
Email: Anya.clayworth@ed.ac.uk
Course secretaryMs Kameliya Skerleva
Tel: (0131 6)51 1855
Email: Kameliya.Skerleva@ed.ac.uk
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