Bi9127 Data evaluation in Human Biology

Faculty of Science
Autumn 2019
Extent and Intensity
0/2/0. 2 credit(s). Type of Completion: zk (examination).
doc. Mgr. Tomáš Zeman, Ph.D. (seminar tutor)
Guaranteed by
doc. RNDr. Eva Drozdová, Ph.D.
Department of Experimental Biology - Biology Section - Faculty of Science
Contact Person: doc. RNDr. Eva Drozdová, Ph.D.
Supplier department: Department of Experimental Biology - Biology Section - Faculty of Science
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Students will get acquainted with basic statistical methods for evaluation of experimental data in human biology and will learn to use them on real data. After completing the course, they will be able to perform basic statistical analysis of experimental data in R software.
Learning outcomes
Student will be able to:
- to choose appropriate statistical methods for evaluating specific experimental data in human biology;
- statistically evaluate the data in the statistical program R with the use of basic statistical methods
- interpret the results of statistical evaluation of the data
- use statistical software R
  • Basics of R software: installation, R language
  • Types of data: nominal scale, ordinal scale, interval scale, and ratio scale
  • Descriptive statistics: modus, median, arithmetic mean, geometric mean, standard deviation
  • Hypothesis testing: null hypothesis, alternative hypothesis
  • Parametric statistics: T-test, ANOVA
  • Non-parametric statistics: Sign test, Wilcoxon test, Kolmogorov-Smirnov test
  • Normality tests: Kolmogorov-Smirnov test, Lilliefors test, Shapiro–Wilk test
  • Contingency table analysis: Fisher's exact test, Chi-squared test
  • Correlation: Pearson' correlation coefficient, Spearman's rank correlation coefficient, basics of linear regression
Teaching methods
theoretical lectures, statistical data analysis using R software, class discussion
Assessment methods
final project presentation
Language of instruction
Further Comments
Study Materials
The course is taught annually.
The course is taught: every other week.
The course is also listed under the following terms Autumn 2020, autumn 2021, Autumn 2022, Autumn 2023.
  • Enrolment Statistics (Autumn 2019, recent)
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