1. Introduction to statistical data analysis
2. The issue writing of values (decimal places), rounding and missing values (limit of detection)
3. Exploratory data analysis – graphical techniques, outliers, statistical tests and data transformation
4. Confirmatory data analysis – classical and robust estimators of central tendency and variability, small datasets
5. Statistical hypothesis testing – parametric and nonparametric hypothesis tests
6. Linear regression and correlation analysis
7. Analysis of variance (ANOVA) – one-way ANOVA
8. Analysis of variance (ANOVA) – two-way ANOVA and MANOVA
9. Multivariate statistical methods – basic assumptions
10. Cluster analysis
11. Principal component analysis
12. Factor analysis
13. Two-dimensional interpolation, extrapolation and approximation
14. Three-dimensional Interpolation, extrapolation, approximation
2. The issue writing of values (decimal places), rounding and missing values (limit of detection)
3. Exploratory data analysis – graphical techniques, outliers, statistical tests and data transformation
4. Confirmatory data analysis – classical and robust estimators of central tendency and variability, small datasets
5. Statistical hypothesis testing – parametric and nonparametric hypothesis tests
6. Linear regression and correlation analysis
7. Analysis of variance (ANOVA) – one-way ANOVA
8. Analysis of variance (ANOVA) – two-way ANOVA and MANOVA
9. Multivariate statistical methods – basic assumptions
10. Cluster analysis
11. Principal component analysis
12. Factor analysis
13. Two-dimensional interpolation, extrapolation and approximation
14. Three-dimensional Interpolation, extrapolation, approximation