B_PrSt Statistics and Probability

University of Finance and Administration
Winter 2018
Extent and Intensity
2/1. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Diana Bílková, Dr. (seminar tutor)
RNDr. Ivan Havlíček, CSc. (seminar tutor)
PaedDr. Renata Majovská, PhD. (seminar tutor)
Guaranteed by
doc. Ing. Diana Bílková, Dr.
Department of Computer Science and Mathematics – Departments – University of Finance and Administration
Contact Person: Ivana Plačková
Timetable of Seminar Groups
B_PrSt/cAPH: each even Tuesday 17:30–18:14 E128, each even Tuesday 18:15–19:00 E128, D. Bílková
B_PrSt/cBR1PH: each even Tuesday 14:00–14:44 E126, each even Tuesday 14:45–15:30 E126, D. Bílková
B_PrSt/cRKV: each odd Thursday 10:30–11:14 KV305PC, each odd Thursday 11:15–12:00 KV305PC, R. Majovská
B_PrSt/cR2PH: each odd Tuesday 14:00–14:44 E126, each odd Tuesday 14:45–15:30 E126, D. Bílková
B_PrSt/pAPH: Tue 15:45–16:29 E128, Tue 16:30–17:15 E128, except Tue 20. 11. ; and Tue 20. 11. 15:45–17:15 E228, D. Bílková
B_PrSt/pBRPH: Tue 12:15–12:59 E004, Tue 13:00–13:45 E004, D. Bílková
B_PrSt/pRKV: Thu 12:15–12:59 KV305PC, Thu 13:00–13:45 KV305PC, except Thu 15. 11. ; and Thu 1. 11. 10:30–12:00 KV305PC, R. Majovská
B_PrSt/vAPH: Fri 26. 10. 19:15–20:45 E225, Fri 23. 11. 15:45–17:15 E303PC, 17:30–19:00 E303PC, Fri 7. 12. 14:00–15:30 E303PC, 15:45–17:15 E303PC, R. Majovská
B_PrSt/vRMO: Sat 6. 10. 14:00–15:30 M25, 15:45–17:15 M25, Sat 20. 10. 14:00–15:30 M25, Sat 3. 11. 11:30–13:00 M25, 14:00–15:30 M25, I. Havlíček
B_PrSt/vRPH: Fri 12. 10. 14:00–15:30 E303PC, 15:45–17:15 E303PC, Fri 9. 11. 15:45–17:15 E303PC, 17:30–19:00 E303PC, Fri 23. 11. 19:15–20:45 E303PC, R. Majovská
Prerequisites
There are no prerequisites for this course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
After completing the course the student will be able to use basic terms of descriptive statistics. He will understand the problems of statistical surveys and will be able to process data on nominal variables, too. He will know the differences between simple and interval frequency distribution and he will also recognizes, in which case the simple frequency distribution is uśed for representation of the frequency distribution and in which case the interval frequency distribution (including graphical representation of the frequency distribution). Students will be able to measure the location, variability, skewness and kurtosis of frequency distribution. He will be able to use the basic terms of probability theory, to know the operations with random phenomena and to know the prnciples of computation of probability random phenomenon. In the field of random variable, students will know some named discrete and continuous probability distributions and the selected limit theorems. They will know the definition of statistic and the definition of random sample.
Learning outcomes
Knowledge of basics of descriptive statistics and theory of probability. Ability to work with data sets.
Syllabus
  • 1. Basic statistical terms
  • 2. Data processing of verbal variable
  • 3. Data processing of numeric variable, quantiles
  • 4. Location characterizing of values of numerical variable
  • 5. Variability characterizing of values of numerical variable
  • 6. Concentration characterizing of values of numerical variable
  • 7. Random phenomenon
  • 8. Random variable
  • 9. Some distribution of discrete type
  • 10. Some distribution of continuous type
  • 11. Some limit theorems
  • 12. Random sample, statistics
Literature
    required literature
  • BÍLKOVÁ, Diana, Petr BUDINSKÝ and Václav VOHÁNKA. Pravděpodobnost a statistika (Probability and Statistics). 1. vydání. Plzeň: Vydavatelství a nakladatelství Aleš Čeněk, s.r.o, 2009, 658 pp. ISBN 978-80-7380-224-0. info
  • CYHELSKÝ, Lubomír and Eduard SOUČEK. Základy statistiky (Elementals of Statistics). Praha: Vysoká škola finanční a správní, 2009, 164 pp. ISBN 978-80-7408-013-5. info
Teaching methods
Lectures and seminars in full-time study; tutorials in part-time study, data-projector is used in teaching, statistical programme Statgraphics will be presented to the students. Minimum mandatory attendance at seminars in full-time is 75%, the controlled group consultations in combined studies 50%. Students who fail to meet the mandatory level of participation will be specified additional study obligations.
Assessment methods
Course ending: allowance + examination Requirements for allowance: - 2 written tests, it is needed to obtain at least 50 percent of points from each test - 1 semestral work from the area of descriptive statistics, it is needed to obtain at least 50 percent points from that - presence in seminars at least 80 percent Examination: - 1 written test (examples + theory) that is needed to write at least 50 percent of the points - oral examination: student will draw and answer 2 theoretical questions
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: 10 hodin KS/semestr.
The course is also listed under the following terms Winter 2016, Winter 2017, Winter 2019, Winter 2020, Winter 2021, Winter 2022, Winter 2023, Winter 2024.
  • Enrolment Statistics (Winter 2018, recent)
  • Permalink: https://is.vsfs.cz/course/vsfs/winter2018/B_PrSt