151-0534/02 – Statistics B (Stcs B)

Gurantor departmentDepartment of Mathematical Methods in EconomicsCredits5
Subject guarantordoc. Ing. Václav Friedrich, Ph.D.Subject version guarantordoc. Ing. Václav Friedrich, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesEKFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
FRI02 doc. Ing. Václav Friedrich, Ph.D.
FUN01 Mgr. Taťána Funioková, 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

The main objective of the course Statistics B is not only to learn basic knowledge of statistics, procedures and methods, but also to extend logical thinking. Upon successful completion of this course, students will acquire the following knowledge, skills and abilities: • they will gain the ability to understand data in relation to real world problems; • they will understand the uncertainty and variability of processes and their influence on decision making; • they will learn to analyse problems, propose a solution procedure, generalize the conclusions and evaluate the correctness of the results with respect to the given conditions; • they will be able to use appropriate statistical methods to find answers to questions and solutions of selected economic problems; • they will understand that mastery of statistical methods is necessary for every graduate of the Faculty of Economics.

Teaching methods

Individual consultations


Statistics is an integral part of curricula at the economic faculties. It is also the necessary prerequisite to study other economic subjects. In the course Statistics B the knowledge of statistics and probability theory obtained in the bachelor‘s study is extended. The students will get acquainted with the system of economic indicators used in the Czech Republic and the EU, they will learn to process and analyse statistical data using methods of descriptive statistics and statistical induction (statistical estimates, tests), which are the basis of many techniques used in economy and business (market research, production planning, quality control, managerial decision making and forecasting, personnel policy, etc.). When working with data, appropriate statistical software is used.

Compulsory literature:

Anderson, D.R., D.J. Sweeney and T.A. Williams. (2014). Statistics for business and economics. 12th ed. Stamford: Cengage Learning. Dalgaard, P. (2002). Introductory Statistics with R. New York: Springer Verlag.

Recommended literature:

Newbold, P., W.L. Carlson and B. Thorne. (2013) Statistics for business and economics. 8th ed. Harlow: Pearson Education. Kvanli, A.H., R.J. Pavur and K.B. Keeling. (2003). Introduction to business statistics: a Microsoft Excel integrated approach. 6th ed. Mason (OH): Thomson South-Western. Venables, W.N. and B.D. Ripley. (2003). Modern Applied Statistics with S. 4th Edition. New York: Springer Verlag.

Way of continuous check of knowledge in the course of semester

Elaboration of ongoing tasks and their submission in electronic form, verification of practical skills by continuous test. Final written verification of theoretical and practical knowledge.


The subject is supported by an interactive course in LMS Moodle. Ongoing tasks are submitted via LMS Moodle.

Další požadavky na studenta

Knowledge of statistics and probability theory in the range of the bachelor course (Statistics A). Basics of data processing using Microsoft Excel or similar software.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

1. Population and random sampling. 2. Distribution of random sampling characteristics. 3. Estimates of population parameters. 4. Testing of statistical hypotheses. 5. One-sample parametric statistical tests. 6. Two-sample comparative parametric tests. 7. Analysis of variance (ANOVA). 8. Selected non-parametric tests. 9. Measurement of independence of categorical variables. 10. Simple linear correlation and regression. 11. Multiple linear regression and correlation. 12. Nonlinear regression models. 13. Time series analysis.

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 45  23
        Examination Examination 55  28
Mandatory attendence parzicipation: Attendance at lectures is recommended. Seminars are compulsory, tolerated absences are two exercises (4 hours) within the semester. Students with an Individual Study Plan (ISP) have the same study obligations as other students. In justified cases, the teacher may increase the tolerated absence at the seminars but up to 50%.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (N0311A050012) Applied economics (S01) International Economic Relations P Czech Ostrava 1 Compulsory study plan
2019/2020 (N0311A050013) Applied Economics (S02) International Economic Relations P English Ostrava 1 Compulsory study plan
2019/2020 (N0311A050013) Applied Economics (S01) Economic Development P English Ostrava 1 Compulsory study plan
2019/2020 (N0413A050014) Economics and Management (S03) Economics and Law in Business P Czech Ostrava 1 Compulsory study plan
2019/2020 (N0413A050014) Economics and Management (S01) Business Administration P Czech Ostrava 1 Compulsory study plan
2019/2020 (N0413A050014) Economics and Management (S02) Management P Czech Ostrava 1 Compulsory study plan
2019/2020 (N0412A050005) Finance P English Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner