SubjectsSubjects(version: 956)
Course, academic year 2019/2020

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Statistical Data Analysis - N143042
Title: Statistická analýza dat
Guaranteed by: Department of Informatics and Chemistry (143)
Faculty: Faculty of Chemical Technology
Actual: from 2019 to 2020
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: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Is provided by: M143002
Guarantor: Svozil Daniel prof. Mgr. Ph.D.
Spiwok Vojtěch prof. Ing. Ph.D.
Is interchangeable with: M143002
Examination dates   Schedule   
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: Svozil Daniel (06.08.2013)
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: TAJ143 (25.09.2013)
Literature -

R:Venables R.W.N., Smith D.M. and the R Core Team: An Introduction to R (available online na, 20.5.2013)

R:Cohen T., Cohen J.Y.: Statistics and Data with R: An applied approach through examples. ISBN: 9780470721896 (online available from domain at, 20.5.2013)

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

Last update: TAJ143 (02.07.2013)
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: Svozil Daniel (09.12.2016)
Requirements to the exam - Czech

V polovině semestru se píše zápočtová písemná práce. Na konci semestru studenti skládají písemnou zkoušku.

Last update: ROZ143 (07.06.2013)
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: TAJ143 (25.09.2013)
Registration requirements -

Mathematics, Applied Statistics

Last update: ROZ143 (07.06.2013)
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