Syllabus
1. Basic concept of a role of statistician in research team. Data collection, representative population, real world data.
2. Designing experiments in practice: screening, augmentation and response surface areas. Practical complications and their methodological solutions.
3. Variability in population vs variability in the measuring system: variance modelling.
4. Equivalence tests: proving homogeneity.
5. Probability statement as an output of analysis: easy interpretation of Bayesian methods
6. Data visualization.
Annotation
The application of the statistical methods in research problems.