Experimentation-principles (allowance 2/2)
Lecture: Experimentation-principles and experimental methodology, experimental terminology.
|Exercise: Working with MS Excel application, calculations using formulas, functions|
Experimental design (allowance 0/2)
Exercise: Stages of experimental work, methods for establishment experiments, standard and non-standard experimental design.
Classification of data (allowance 2/2)
Lecture: The distribution of statistical data, statistical methods - classification of quantitative and qualitative data.
|b.||Exercise: MS Excel collection, preparation and processing of data for statistical analysis.|
Statistical classification (allowance 0/2)
Exercise: Statistical classification, simple and interval frequency tables, Pivot tables
|Descriptive statistics (allowance 2/2)|
|a.||Lecture: Descriptive statistics - central tendency, measures of dispersion, skewness and kurtosis.|
|Exercise: Calculation of descriptive statistics and interpretation of results.|
Point and interval estimations (allowance 0/2)
Exercise: Point and interval estimations for the mean values.
Inductive statistics (allowance 2/2)
Lecture: Inductive statistics, statistical tests of hypotheses. Parametric tests and their application.
|b.||Exercise: Inductive statistics - hypothesis testing, confidence intervals and application of t tests.|
Parametric tests (allowance 0/2)
Exercise: Application of t-test, F test of variances, the extreme valuestests, interpretation of results
Non-parametric tests 1 (allowance 2/2)
|a.||Lecture: Non-parametric statistical tests of hypotheses and their use.|
Exercise: Non-parametric tests, Wilcoxon test, Mann-Whitney test.
|Non-parametric tests 2 (allowance 0/2)|
|Exercise: Non-parametric tests, Chi square test, Dixon test.|
|Analysis of variance (allowance 2/2)|
Lecture: Analysis of variance (ANOVA)
|Exercise: One-way ANOVA, LSD test of contrasts, application and interpretation of results|
Two-factor analysis of variance (allowance 0/2)
Exercise: Two-factor analysis of variance without replications, two-factor analysis of variance with replications, nonparametric ANOVA
Correlation and linear regression analysis (allowance 2/2)
|Lecture: Simple correlation and linear regression analysis|
Exercise: Simple correlation and regression analysis and interpretation of results. Evaluation of semestral works.