ELT-62406 Small Samples Data Analysis, 3 cr

Additional information

Suitable for postgraduate studies.

Person responsible

Jari Viik

Lessons

Implementation Period Person responsible Requirements
ELT-62406 2016-01 3 Jari Viik
Accepted project work.

Learning Outcomes

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

Content Core content Complementary knowledge Specialist knowledge
1. Nonparametric statistical methods, basic parametric statistical methods,and correlations between parameters.     
2. How to select an appropriate statistical method for analyzing small sample data.     

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. The weighting factor of each part is given at the beginning 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

Type Name Author ISBN URL Additional information Examination material
Lecture slides             Yes   



Correspondence of content

Course Corresponds course  Description 
ELT-62406 Small Samples Data Analysis, 3 cr BMT-62406 Small Samples Data Analysis, 3 cr  

Updated by: Nousiainen Juha, 14.04.2016