THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2018/2019

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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 Humanities and Social Science
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, analyzing and presenting data of their own.
Course description The course will be taught in a computer lab and in a classroom, and will provide an introduction to interpreting and understanding data, data types and methods for summarizing 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. They will work in a group to carry out their own research project and present their findings.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2018/19, Not available to visiting students (SS1) Quota:  20
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 %
Feedback Short formative quizzes (probably online) based on each week's preparation will be used to offer students informal feedback on their understanding.
No Exam Information
Academic year 2018/19, Not available to visiting students (SS1) Quota:  10
Course Start Semester 2
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 %
Feedback Short formative quizzes (probably online) based on each week's preparation will be used to offer students informal feedback on their understanding.
No Exam Information
Academic year 2018/19, Not available to visiting students (SS2) Quota:  20
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 %
Feedback Short formative quizzes (probably online) based on each week's preparation will be used to offer students informal feedback on their understanding.
No Exam Information
Academic year 2018/19, Not available to visiting students (SS2) Quota:  10
Course Start Semester 2
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 %
Feedback Short formative quizzes (probably online) based on each week's preparation will be used to offer students informal feedback on their understanding.
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.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserMs Kate McHugh
Tel: (0131 6)51 1589
Email: kmchugh@exseed.ed.ac.uk
Course secretaryMr Benjamin McNab
Tel: (0131 6)51 4832
Email: Benjamin.Mcnab@ed.ac.uk
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