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Course code
Qualifications are made up of courses. Some universities call these papers. Each course is numbered using six digits.
- 161228
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Level
The fourth number of the course code shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).
- 200-level
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Credits
Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.
- 15
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Subject
- Statistics
Course planning information
Course notes
Students will be introduced to concepts including randomisation, blocking, structured treatments, balance and orthogonality, crossed and nested effects, and pseudo-replication.
Prerequisite courses
You need to complete the above course or courses before moving onto this one.
General progression requirements
You must complete at least 45 credits from 100-level before enrolling in 200-level courses.Learning outcomes
What you will learn. Knowledge, skills and attitudes you’ll be able to show as a result of successfully finishing this course.
- 1 Identify and apply the basic principles of experimental design, including randomisation, replication and control.
- 2 Design controlled experiments to test a number of simultaneous hypotheses relating to scientific research.
- 3 Organise, analyse, and present data sets effectively using appropriate software.
- 4 Develop uni- and multivariate statistical models, including multivariate and logistic regression models.
- 5 Interpret analysis of variance tables and other statistical summaries in the context of the aims of the experiment.
Learning outcomes can change before the start of the semester you are studying the course in.
Assessments
| Assessment | Learning outcomes assessed | Weighting |
|---|---|---|
| Written Assignment | 1 2 4 | 30% |
| Written Assignment | 2 3 5 | 25% |
| Written Assignment | 3 4 5 | 25% |
| Portfolio | 1 2 3 4 5 | 20% |
Assessment weightings can change up to the start of the semester the course is delivered in.
You may need to take more assessments depending on where, how, and when you choose to take this course.
Explanation of assessment types
Explanation of assessment types
- Computer programmes
- Computer animation and screening, design, programming, models and other computer work.
- Creative compositions
- Animations, films, models, textiles, websites, and other compositions.
- Exam College or GRS-based (not centrally scheduled)
- An exam scheduled by a college or the Graduate Research School (GRS). The exam could be online, oral, field, practical skills, written exams or another format.
- Exam (centrally scheduled)
- An exam scheduled by Assessment Services (centrally) – you’ll usually be told when and where the exam is through the student portal.
- Oral or performance or presentation
- Debates, demonstrations, exhibitions, interviews, oral proposals, role play, speech and other performances or presentations.
- Participation
- You may be assessed on your participation in activities such as online fora, laboratories, debates, tutorials, exercises, seminars, and so on.
- Portfolio
- Creative, learning, online, narrative, photographic, written, and other portfolios.
- Practical or placement
- Field trips, field work, placements, seminars, workshops, voluntary work, and other activities.
- Simulation
- Technology-based or experience-based simulations.
- Test
- Laboratory, online, multi-choice, short answer, spoken, and other tests – arranged by the school.
- Written assignment
- Essays, group or individual projects, proposals, reports, reviews, writing exercises, and other written assignments.
Textbooks needed
There are no set texts for this course.