310-2305/01 – Statistics (Statistics)

Gurantor departmentDepartment of Mathematics and Descriptive GeometryCredits5
Subject guarantorMgr. Marcela Rabasová, Ph.D.Subject version guarantorMgr. Marcela Rabasová, Ph.D.
Study levelundergraduate or graduate
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesUSP, FS, FAST, FBI, FMT, HGF, FEIIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
KAH14 Mgr. Marcela Rabasová, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

Subject aims expressed by acquired skills and competences

This is an introductory course in statistics. The aim is to understand of statistical methods for data analysis. Students will be able to interpret results of basic statistical analysis in a selected statistical software. The theory behind statistical tools and procedures will be described as well. Lectures will be in English. It is necessary to complete Mathematics 1 and Mathematics 2 courses or their equivalents.

Teaching methods



Introduction to probability, Discrete and continuous random variables, Numerical characteristics of random variables, Exploratory data analysis, Point and interval estimations of parameters, Hypothesis testing, Simple linear regression model.

Compulsory literature:

W.J. DeCoursey: Statistics and Probability for Engineering Applications With Microsoft(R) Excel. Copyright © 2003 Elsevier Inc. ISBN 978-0-7506-7618-2. Available on-line: http://www.sciencedirect.com/science/book/9780750676182

Recommended literature:

Radim Briš, Petra Škňouřilová. STATISTICS I. VŠB - Technical University of Ostrava, Ostrava 2007. Atwood C. L. Hits per Trial: Basic Analysis of Binomial Data. Department of Energy, 1994 ; DOI: 10.2172/10191270. Available on-line: http://www.osti.gov/bridge/product.biblio.jsp?osti_id=10191270

Way of continuous check of knowledge in the course of semester

Course-credit -participation on tutorials is obligatory, 20% of absence can be apologized, -elaborate one program - statistical data analysis -pass the written tests, Point classification: 5-20 points. Exam Practical part of an exam is classified by 0 - 60 points. Practical part is successful if student obtains at least 25 points. Theoretical part of the exam is classified by 0 - 20 points. Point quantification in the interval 100 - 91 90 - 81 80 - 71 70 - 61 60 - 51 50 - 0 ECTS grade A B C D E F Point quantification in the interval 100 - 86 85 - 66 65 - 51 51 - 0 National grading scheme excellent very good satisfactory failed



Other requirements

There are no other requirements on students.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

1. Introduction to probability 2. Discrete and Continuous random variables 3. Numerical characteristics of random variables 4. Exploratory data analysis 5. Point and interval estimations of parameters 6. Hypothesis testing 7. Simple linear regression model.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 20  5
        Examination Examination 80 (80) 30
                Písemka Written test 60  25
                Ústní zkouška Oral examination 20  5
Mandatory attendence parzicipation: 80%

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
FMT+9360 2020/2021 Full-time English Optional 600 - Faculty of Materials Science and Technology - Dean's Office stu. block
ECTS FCE Bc-Mgr 2020/2021 Full-time English Choice-compulsory 200 - Faculty of Civil Engineering - Dean's Office stu. block
ECTS - MechEng - Bachelor Studies 2020/2021 Full-time English Choice-compulsory 301 - Study and International Office stu. block
ECTS FCE Bc-Mgr 2019/2020 Full-time English Choice-compulsory 200 - Faculty of Civil Engineering - Dean's Office stu. block
Additional Subjects 2019/2020 Full-time English Choice-compulsory 301 - Study and International Office stu. block
FMST 2019/2020 Full-time English Compulsory 601 - Study Office stu. block