Statistical Data Analysis - M143002
Title: Statistická analýza dat
Guaranteed by: Department of Informatics and Chemistry (143)
Faculty: Faculty of Chemical Technology
Actual: from 2019 to 2019
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
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Svozil Daniel prof. Mgr. Ph.D.
Interchangeability : N143042
Examination dates   Schedule   
This subject contains the following additional online materials
Annotation -
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.
Last update: Hladíková Jana (04.01.2018)
Aim of the course -

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

Last update: Hladíková Jana (04.01.2018)
Literature -

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

Last update: Svozil Daniel (31.10.2018)
Learning resources -

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 -

Last update: Hladíková Jana (04.01.2018)
Requirements to the exam - Czech

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

Last update: Svozil Daniel (31.01.2018)
Syllabus -

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

Last update: Hladíková Jana (04.01.2018)
Registration requirements -

Mathematics, Applied Statistics

Last update: Hladíková Jana (04.01.2018)
Course completion requirements -

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

Last update: Svozil Daniel (31.01.2018)
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
5 / 5 140 / 140
Coursework assessment
Form Significance
Examination test 70
Continuous assessment of study performance and course -credit tests 30