B_STA_a Statistics

Institute of Technology and Business in České Budějovice
winter 2026
Extent and Intensity
2/2/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. Ing. Marek Vochozka, MBA, Ph.D., dr. h.c. (lecturer)
Ing. Monika Burghauserová (seminar tutor)
Ing. Yelyzaveta Shebalkova (seminar tutor)
Guaranteed by
Robin Kunju Mol Raj, MBA, PhD.
Department of Corporate Finance and Economics – School of Expertness and Valuation – Rector – Institute of Technology and Business in České Budějovice
Supplier department: Department of Corporate Finance and Economics – School of Expertness and Valuation – Rector – Institute of Technology and Business in České Budějovice
Timetable of Seminar Groups
B_STA_a/K01: Sun 25. 10. 16:30–18:00 D316, Sat 7. 11. 8:00–12:30 D316, Sat 5. 12. 11:30–16:00 D316, Sun 6. 12. 11:25–14:25 D316, M. Burghauserová
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives supported by learning outcomes
The aim of the course is to acquaint students with the basic procedures in the field of statistical induction, methods of analysis of qualitative and quantitative features and with the elements of time series analysis. After completing the course, the student is able to define the basic procedures in the field of statistical induction, can characterize and apply methods of analysis of qualitative and quantitative features and elements of time series analysis. The graduate is able to collect, sort, process and present statistical data.
Learning outcomes
After the successful completion of the course, the student masters the basic procedures in the field of statistical induction, methods of analysis of qualitative and quantitative features and with time series analysis elements. The student is able to collect, process and present statistical data.
Syllabus
1. Methods of descriptive statistics. 2. Basic statistical characteristics and indices. 3. Probability and distribution of probabilities and their numerical characteristics. 4. Basic probability models. 5. Sample surveys, distribution of sampling characteristics and basics of statistical induction. 6. Testing statistical hypotheses. 7. Two-sample tests. 8. Further tests and analysis of variance. 9. Simple linear regression and correlation. 10. Statistical induction in regression model. 11. Multidimensional regression and prognostic application of regression. 12-13. Introduction to time series analysis.

Literature
    required literature
  • VOCHOZKA, M. a Y. SHEBALKOVA, 2026. Statistika: studijní materiály. České Budějovice: Vysoká škola technická a ekonomická v Českých Budějovicích. ISBN 978-80-7468-217-9.
  • VOCHOZKA, M. a Y. SHEBALKOVA, 2026. Cvičebnice statistiky: souhrnné vydání. České Budějovice: Vysoká škola technická a ekonomická v Českých Budějovicích. ISBN 978-80-7468-215-5.
    recommended literature
  • VOCHOZKA, M. and Y. SHEBALKOVA, 2026. Statistics: study text. České Budějovice: Institute of Technology and Business in České Budějovice. ISBN 978-80-7468-216-2.
  • NEUBAUER, J., M. SEDLAČÍK a O. KŘÍŽ, 2021. Základy statistiky: aplikace v technických a ekonomických oborech. 3., rozšířené vydání. Praha: Grada. ISBN 978-80-271-3421-2.
  • VOCHOZKA, M. and Y. SHEBALKOVA, 2026. Workbook of exercises in statistics: complete edition. České Budějovice: Institute of Technology and Business in České Budějovice. ISBN 978-80-7468-214-8.
  • CAMM, J. D., J. J. COCHRAN, M. J. FRY, J. W. OHLMANN, D. R. ANDERSON, D. J. SWEENEY and T. A. WILLIAMS, 2024. Statistics for Business & Economics. 15th ed. Boston: Cengage Learning. ISBN 978-0-357-71585-7.
Organizační formy výuky
Lecture
Seminar
Exercise
Excursion - language
Tutorial
Consultation
Teaching Block - lecture
Komplexní výukové metody
Frontal Teaching
Group Teaching - Competition
Group Teaching - Cooperation
Group Teaching - Collaboration
Project Teaching
Brainstorming
Critical Thinking
Individual Work– Individual or Individualized Activity
Teaching Supported by Multimedia Technologies
E-learning
Student Workload
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Preparation for the Mid-term Test1010
Preparation for Lectures22
Preparation for Seminars, Exercises, Tutorial4480
Preparation for the Final Test2020
Participation in a continuous test22
Attendance on Lectures26 
Attendance on Seminars/Exercises/Tutorial/Excursion2616
Total:130130
Metody hodnocení a jejich poměr
Test – mid-term 30%
Test – final 70%
Podmínky testu
To successfully complete the course, it is necessary to achieve a total of continuous and a final evaluation of at least 70% under the conditions set out below conditions. In the continuous evaluation, 30 points can be obtained, ie 30%. In the final evaluation, a total of 70 points can be obtained = 70%. Total subject classification, ie points for the final evaluation (70 - 0) + points from continuous assessment (30 - 0): A 100 - 90, B 89.99 - 84, C 83.99 - 77, D 76.99 - 73, E 72.99 - 70, FX 69.99 - 30, F 29.99 - 0. The student of the full-time form of study is obliged for contact teaching, ie everything in addition to lectures, meet the mandatory 70% attendance.
Language of instruction
Czech
Teacher's information
Attendance at classes in all forms is governed by a separate internal standard of VŠTE (Records of student attendance at VŠTE). For full-time students 70% attendance at seminars is mandatory.
The course is also listed under the following terms winter 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.vstecb.cz/course/vste/winter2026/B_STA_a