Statsitics 3D: Design of Experiments STATS3013

  • 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: Yes
  • Available to Erasmus Students: Yes

Short Description

This course provides an introductory overview of the statistical aspects of designing experimental studies, and to introduce associated methods of statistical analysis.

Timetable

20 lectures

fortnightly tutorials

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

Design of Experiments [STATS4008]

Design of Experiments (Level M) [STATS5017]

Co-requisites

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

Assessment

90 minute, end of course examination (100%)

Main Assessment In: April/May

Course Aims

The aims of this course are to provide an introductory overview of the statistical aspects of designing experimental and observational studies, and the associated methods of statistical analysis.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ Describe the difference between an experiment and an observational study

■ Explain the basic principles of randomisation, replication and stratification, and understand how they apply to practical problems.

■ Explain what is meant by factorial and block designs and to find appropriate designs for specific applications.

■ State and use estimators of population means and their standard errors for different types of random sampling.

■ Apply theory and methods to a variety of applications.

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.