B_STA Statistics

Institute of Technology and Business in České Budějovice
winter 2025
Extent and Intensity
2/4/0. 7 credit(s). Type of Completion: zk (examination).
Teacher(s)
Ing. Yelyzaveta Shebalkova (seminar tutor)
Ing. Josef Šedivý (seminar tutor)
prof. Ing. Marek Vochozka, MBA, Ph.D., dr. h.c. (seminar tutor)
Guaranteed by
prof. Ing. Marek Vochozka, MBA, Ph.D., dr. h.c.
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/K04: Sat 27. 9. 11:25–12:55 I317A, Sat 18. 10. 8:00–12:30 I317A, Sat 8. 11. 8:00–12:30 I317A, Sat 29. 11. 9:40–14:10 I317A, Sat 6. 12. 9:40–12:40 I317A, Y. Shebalkova
B_STA/P01: Mon 8:00–9:30 E1, J. Šedivý
B_STA/S01: Mon 9:40–11:10 D316, Wed 8:00–9:30 D316, Y. Shebalkova
B_STA/S02: Mon 14:50–16:20 I102, Mon 16:30–18:00 I102, Y. Shebalkova
B_STA/S03: Mon 11:25–12:55 D316, Thu 8:00–9:30 D316, Y. Shebalkova
Prerequisites (in Czech)
MAT_2z Mathematics II && INF_2z Informatics II
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
there are 12 fields of study the course is directly associated with, display
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
  • MAREK, L. a kol., 2013. Statistika v příkladech. Praha: Profesional Publishing. ISBN 978-80-7431-218-5.
  • ARLTOVÁ, M., D. BÍLKOVÁ, P. ČENČÍK, E. JAROŠOVÁ, I. PECÁKOVÁ a Z. POUROVÁ, 2014. Základy statistiky v příkladech. Tribun EU, 192 s. ISBN 978-80-263-0756-3.
  • STUCHLÝ, J., 2015. Statistické analýzy dat: vysokoškolská učebnice. 1. Vydání. České Budějovice: Vysoká škola technická a ekonomická v Českých Budějovicích, 220 s. ISBN 978-80-7468-087-8.
    recommended literature
  • HINDLS, R. a kol., 2006. Statistika pro ekonomy. Praha: Professional Publishing, ISBN 80-86946-16-9.
Forms of Teaching
Lecture
Seminar
Exercise
Excursion - language
Tutorial
Consultation
Teaching Block - tutorial
Teaching Methods
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 Test2626
Preparation for Lectures5 
Preparation for Seminars, Exercises, Tutorial2350
Preparation for the Final Test5054
Attendance on Lectures26 
Attendance on Seminars/Exercises/Tutorial/Excursion5252
Total:182182
Assessment Methods and Assesment Rate
Test – mid-term 30 %
Test – final 70 %
Exam conditions
Full-time study: 1) 2x Continuous test of 15 points each - a total of 30 possible points. 2) Final test – 70 points. Combined Studies: 1) Practice test for 100 points. The overall classification of the subject, i.e. the body for the test (70 - 0) + the body from  continuous tests (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. You need a minimum of 70 points to complete the subject
Language of instruction
Czech
Teacher's information
Attendance in lessons is defined in a separate internal standard of ITB (Evidence of attendance of students at ITB). It is compulsory, except of the lectures, for full-time students to attend 70 % lesson of the subjet in a semester.
The course is also listed under the following terms winter 2015, Summer 2016, winter 2016, summer 2017.
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