SubjectsSubjects(version: 922)
Course, academic year 2022/2023
Statistical Data Analysis - M143002
Title: Statistická analýza dat
Guaranteed by: Department of Informatics and Chemistry (143)
Faculty: Faculty of Chemical Technology
Actual: from 2022
Semester: winter
Points: winter s.:5
E-Credits: winter s.:5
Examination process: winter s.:
Hours per week, examination: winter s.:2/2, C+Ex [HT]
Capacity: unlimited / unlimited (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
For type: Master's (post-Bachelor)
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Svozil Daniel prof. Mgr. Ph.D.
Interchangeability : N143042
This subject contains the following additional online materials
Annotation -
Last update: Hladíková Jana (04.01.2018)
This course is the follow-up to the Applied Statistics lectures. Freely available statistical software R is presented, and students use it to practise common statistical tasks such as, e.g., exploratory data analysis, hypothesis testing, analysis of variance or regression.
Aim of the course -
Last update: Hladíková Jana (04.01.2018)

Students will be able to:

Use the R software (environment for statistical computing)

Do the exploratory analysis and hypotheses testing in R

Do the regression analysis in R

Analyze multidimensional data in R

Present results of statistics analysis using graphical capabilities of R

Literature -
Last update: Svozil Daniel prof. Mgr. Ph.D. (31.10.2018)

R:Statisticka analýza dat v R, Vojtech Spiwok, 2015. available at

R:Pekár, S., Moderní analýza bioologických dat, Scientia, 2009, ISBN 978-80-86960-44-9.

Z:Konečná, K., Koláček, J., Jak pracovat s jazykem R. 2014. PřF MU Brno (available at

A:Venables R.W.N., Smith D.M. and the R Core Team: An Introduction to R. 2018. (available at

A:Cohen T., Cohen J.Y.: Statistics and Data with R: An applied approach through examples. 2008. ISBN: 9780470721896

A:Rumsey D. Intermediate Statistics for Dummies; For Dummies, 2007. ISBN 0470045205

Learning resources -
Last update: Hladíková Jana (04.01.2018)

Online course materials at

video course "Computing for Data Analysis" (using and programming in R) by Roger D. Peng,

video course "Data Analysis" (applied statistics in R) by Jeff Leek,

Online textbooks

OpenIntro Statistics -

OnlineStatBook -

Hyperstat -

StatPrimer -

Requirements to the exam - Czech
Last update: Svozil Daniel prof. Mgr. Ph.D. (31.01.2018)

Zápočet je udělen na základě vypracování individuálního projektu. Závěrečná zkouška je písemná.

Syllabus -
Last update: Hladíková Jana (04.01.2018)

1. Introduction to R statistics software, help

2. Input and output in R

3. Creating graphs in R

4. Basic statistic distributions, random numbers in R

5. Descriptive one-dimensional statistics, boxplot

6. Standard deviation, mean error, confidence interval and their graphic representation in R

7. Hypotheses testing in R: t-test

8. Hypotheses testing in R: variance analysis

9. Descriptive statistics and their use in R

10. Creating and testing linear models in R

11. Creating and testing non-linear models in R

12. Basic linear algebra in R

13. Principal component analysis, its implementation and use in R

14. Cluster analysis in R

Registration requirements -
Last update: Hladíková Jana (04.01.2018)

Mathematics, Applied Statistics

Course completion requirements -
Last update: Svozil Daniel prof. Mgr. Ph.D. (31.01.2018)

The credit is given on the completion of an individual project. The final exam is written.

Teaching methods
Activity Credits Hours
Účast na přednáškách 1 28
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi 1 28
Práce na individuálním projektu 1 28
Příprava na zkoušku a její absolvování 1 28
Účast na seminářích 1 28
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