SubjectsSubjects(version: 845)
Course, academic year 2018/2019
Statistical Data Analysis - N143042
Title in English: Statistická analýza dat
Guaranteed by: Department of Informatics and Chemistry (143)
Actual: from 2016
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 [hours/week]
Capacity: unlimited / unlimited (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
For type:  
Note: course can be enrolled in outside the study plan
Guarantor: Svozil Daniel doc. Mgr. Ph.D.
Spiwok Vojtěch doc. Ing. Ph.D.
This subject contains the following additional online materials
Annotation -
Last update: Svozil Daniel doc. Mgr. Ph.D. (06.08.2013)
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: TAJ143 (25.09.2013)

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: TAJ143 (02.07.2013)

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

Learning resources -
Last update: Svozil Daniel doc. Mgr. Ph.D. (09.12.2016)

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: ROZ143 (07.06.2013)

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

Syllabus -
Last update: TAJ143 (25.09.2013)

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: ROZ143 (07.06.2013)

Mathematics, Applied Statistics

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
Zkouškový test 70
Průběžné a zápočtové testy 30