Undergraduate Course: Challenges in Statistics (LLLJ07017)
Course Outline
| School | Centre for Open Learning |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 7 (Year 1 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | Statistical 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.
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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:
- 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).
- Present and explain data in an appropriate and meaningful manner.
- Evaluate and question statistical ideas.
- Develop data analysis skills by using statistical software.
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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. |
| Keywords | Not entered |
Contacts
| Course organiser | Mr Maximillian Jaede
Tel:
Email: v1mjaede@exseed.ed.ac.uk |
Course secretary | Ms Kameliya Skerleva
Tel: (0131 6)51 1855
Email: Kameliya.Skerleva@ed.ac.uk |
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