BMT-62416 Small Samples Data Analysis, 5 cr

Additional information

Suitable for postgraduate studies.

Person responsible

Jari Viik

Lessons

Learning Outcomes

Students know notations of statistics, different measurement scales, and basics characteristics of statistics. Students can apply both nonparametric statistical methods and basic parametric tests. Students can select and use an appropriate statistical method for analysing small sample data.

Content

Instructions for students on how to achieve the learning outcomes

The final grade of the course is determined based on the assessment of all part of the course. Grades 1-2: Learning outcomes have been achieved with minimal insufficiency. Satisfactory command in core content of the course. Grades 3-4: Some learning outcomes have been exceeded qualitatively or quantitatively. Good command in core content and complementary knowledge of course content. Good or very good marks from all parts of the course. Grade 5: Most of the learning outcomes have been exceeded. Deep command in the whole content of the course. Almost maximum performance in all parts of the course.

Assessment scale:

Numerical evaluation scale (0-5)

Partial passing:

Completion parts must belong to the same implementation

Study material

Correspondence of content