TIME & PLACE: autumn 2018 (September - October):

lectures on Fridays 9¹⁵-13 Kreutzwaldi 62, A122 (no lecture at September 28).
practicals on Tuesdays 8¹⁵-12 (group A) and 12¹⁵-16 (group B) Kreutzwaldi 62, B213.

TOPICS:

• Data managing and databases
• Descriptive statistics, frequency tables, diagrams
• Theoretical distributions
• Population and sample, parameters' estimation, accuracy of estimates
• Confidence and tolerance interval
• Hypothesis testing, statistical significance
• Comparison of means
• Relationships between variables - description and testing (correlation analysis, chi-square test, Fisher exact test)
• Regression analysis, analysis of variance
• General linear models (reparametrisation, contrasts, repeated measures, fixed and random factors)
• Analysis if binary traits (logistic and probit regression, odds ratio, ROC analysis)
• Power analysis, sample size calculation
• Multivariate statistics (principal components analysis, cluster analysis, ...)
• Statistics in scientific papers
• Software MS Excel and R.