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Module

SFY0002 : Statistics

  • Offered for Year: 2024/25
  • Module Leader(s): Dr Aleksandra Svalova
  • Owning School: Mathematics, Statistics and Physics
  • 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 basic principles of statistical analysis. They will also have a basic knowledge of data interpretation, data analysis and statistical inference.
Students will have a basic understanding of the concepts of chance and probability. 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

Basic concepts of statistics

Summary statistics and distributions of data

Describing distributions with plots and tables

Bivariate data

Chance

The normal distribution

Sampling variation and confidence intervals

Thinking about and studying unknowns

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion19:009:00Exam Revision
Scheduled Learning And Teaching ActivitiesLecture111:0011:00N/A
Guided Independent StudyAssessment preparation and completion15:305:30Project preparation and writing
Guided Independent StudyAssessment preparation and completion18:008:00Completing Assignments 1 and 2
Scheduled Learning And Teaching ActivitiesPractical62:0012:00Present in person computer practicals.
Structured Guided LearningAcademic skills activities111:0011:00Asynchronous materials. 5 online tutorial classes with 6 hours of associated independent study
Guided Independent StudySkills practice11:301:30Writing the exam
Guided Independent StudyIndependent study133:0033:00Going through lecture materials individually, up to 3 hours per lecture
Guided Independent StudyIndependent study19:009:00Going through computer practical material individually, up to 90 minutes per practical
Total100:00
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 Examination902A70N/A
Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises2M14Problem solving exercise
Written exercise2M16Project work. This includes using statistical software to perform analysis on a data set and writing a report (no more than 8 pages not including appendix).
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 exercises2MStudents 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