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Course unit, curriculum year 2024–2025
BBT.MJS.101

Small Samples Data Analysis, 5 cr

Tampere University
Teaching periods
Active in period 1 (1.8.2024–20.10.2024)
Active in period 3 (1.1.2025–2.3.2025)
Active in period 4 (3.3.2025–31.5.2025)
Course code
BBT.MJS.101
Language of instruction
English
Academic years
2024–2025, 2025–2026, 2026–2027
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Jari Viik
Responsible organisation
Faculty of Medicine and Health Technology 100 %
Coordinating organisation
MET Studies 100 %
Common learning outcomes
International outlook and global responsibility
Core content
  • Understanding notations of statistics, different measurement scales, and basic knowledge of statistics.
  • Nonparametric statistical methods, basic parametric statistical methods,and regression and correlations between parameters.
  • How to select an appropriate statistical method for analyzing small sample data.
  • Presenting your data and results of statistical tests.
Learning outcomes
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
Accepted project work.

Participation in teaching

15.05.2024 16.08.2024
Active in period 1 (1.8.2024–20.10.2024)
07.01.2025 18.04.2025
Active in period 3 (1.1.2025–2.3.2025)
Active in period 4 (3.3.2025–31.5.2025)