SFY0002 : Basic Statistics
- Offered for Year: 2023/24
- Module Leader(s): Dr Aleksandra Svalova
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Aims
To develop confidence in using and questioning statistical data.By the completion of the course students will understand the principles of data collection. They will
also have a basic knowledge of data interpretation, data analysis and statistical inference.
Students will be able to present data in numerical, graphical and tabular form. They will also have
developed their skills in project work and report writing.
Outline Of Syllabus
Exploring and summarising data, constructing and interpreting tables, representing data pictorially and functionally; Differences between surveys, censuses and experiments; Introduction to Probability; Distributions and inference.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 9:00 | 9:00 | Exam Revision |
| Guided Independent Study | Assessment preparation and completion | 1 | 9:00 | 9:00 | Written Exam, report and exercises |
| Structured Guided Learning | Lecture materials | 11 | 1:00 | 11:00 | Asynchronous material |
| Scheduled Learning And Teaching Activities | Practical | 6 | 2:00 | 12:00 | Computer practicals |
| Guided Independent Study | Independent study | 1 | 54:00 | 54:00 | Independent study |
| Scheduled Learning And Teaching Activities | Scheduled on-line contact time | 5 | 1:00 | 5:00 | Online problems class |
| Total | 100:00 |
Teaching Rationale And Relationship
Lectures will give the students all of the knowledge needed to achieve the learning outcomes. Computer practicals using appropriate statistical software will give the students the skills needed to perform statistical analyses rapidly, and reflect modern statistical practices in industry and academia.
Through independent study and asynchronous material the students will gain a deeper understanding of the in-course material.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 90 | 2 | A | 70 | N/A |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Report | 2 | M | 14 | Project work: This includes using statistical software to perform analysis on a data set and writing a report (no more than 8 pages including appendix). |
| Prob solv exercises | 2 | M | 16 | Problem solving exercise |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Prob solv exercises | 2 | M | Students will get feedback on their first set of problem solving exercises. |
Assessment Rationale And Relationship
The project and two assessed problem-solving exercises will give the students the opportunity to practise the methods introduced in the course. They will also develop their problem solving and report writing skills. The exam tests the student’s ability to apply the theory to relevant questions.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- SFY0002's Timetable