Course information

Course topics: 1) Introduction to data analysis, Basics of hypothesis testing 2) Hypothesis testing – normality of data setout 3) Comparison of proportions/numerosity – Chi-square test 4) Comparison of proportions/numerosity – Fisher test, McNemar´s test 5) Testing the hypothesis about averages – T-test 6) Testing the hypothesis about averages – Anova test 7) Testing the hypothesis about medians – Wilcoxon test 8) Testing the hypothesis about medians – Kruskal-Wallis test 9) Pair tests 10) Correlation and dependency graph 11) Simple linear regression 12) Choosing and justifying the optimal statistical analysis algorithm

Supervisors and educators:
doc. PhDr. Silvia Puteková, PhD. - Kogarant
RNDr. Karolína Tomčíková, PhD. - Schvaľujúci zápis, Kogarant
doc. RNDr. Martina Horváthová, PhD. - Kogarant
doc. Ing. Stanislava Blažíčková, PhD. - Zabezpečuje, Hlavný garant
PhDr. Michal Rafajdus, PhD. - Kogarant
PhDr. Denisa Benedek Jakubcová, PhD. - Zabezpečuje, Cvičiaci, Zodpovedný za elearning, Skúšajúci

Code: LMbEE47

Period: ZS

Credits: 3