Statistics 3A: Data Analysis STATS3011

  • Academic Session: 2018-19
  • 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

Short Description

This course gives students experience of analysing data in a wide variety of contexts, using the R computer package, and develops written communication skills.

Timetable

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.

Excluded Courses

Data Analysis [STATS4052]

Data Analysis (Level M) [STATS5018]

Co-requisites

The courses prescribed in the Designated Degree programme to which the student has been admitted.

Assessment

Laboratory Work (100%)

Course Aims

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.