Statistics 3A: Data Analysis STATS3011
- Academic Session: 2019-20
- School: School of Mathematics and Statistics
- Credits: 10
- Level: Level 3 (SCQF level 9)
- Typically Offered: Semester 2
- Available to Visiting Students: No
- Available to Erasmus Students: No
This course gives students experience of analysing data in a wide variety of contexts, using the R computer package, and develops written communication skills.
10, 2-hour practical sessions (weekly)
Requirements of Entry
The normal requirement is that students should have been admitted to the third year of the Designated Degree programme in Statistics.
Data Analysis [STATS4052]
Data Analysis (Level M) [STATS5018]
The courses prescribed in the Designated Degree programme to which the student has been admitted.
Laboratory Work (100%)
This course aims:
■ to introduce students to the practicalities of analysing data using the R package;
■ to develop general expertise in formulating and implementing statistical approaches to practical problems in a variety of contexts;
■ to develop written communication skills.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ implement simple statistical techniques, such as the normal linear model, in R.
■ interpret the results from statistical procedures and draw appropriate conclusions.
■ use a statistical model to answer questions of interest in a standard context.
Minimum Requirement for Award of Credits
Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.