BA_FSM Fundamentals of Statistical Methods

University of Finance and Administration
Summer 2021
Extent and Intensity
1/1/0. 3 credit(s). Type of Completion: z (credit).
Guaranteed by
PaedDr. Renata Majovská, PhD.
Department of Computer Science and Mathematics – Departments – University of Finance and Administration
Contact Person: Ivana Plačková
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 students will be able to use basic terms of descriptive statistics and understand the problems of statistical surveys. They will know the differences between simple and interval frequency distribution (including graphical representation of the frequency distribution). Students will be able to measure the location, variability, skewness and kurtosis. They will be able to use the basic terms of probability theory, the operations with random phenomena and the principles of computation of probability. Students will know some discrete and continuous probability distributions and the selected limit theorems.
Learning outcomes
After completing the course, a student will be able to process and analyse quantitative and qualitative data, find characteristics of location and variability, coefficient of correlation, work with random variable.
Syllabus
  • 1. Basic statistical terms
  • 2. Data processing of verbal variable
  • 3. Data processing of numeric variable, quantiles
  • 4. Measure of location
  • 5. Measure of variability
  • 6. Measure of variability for interval data
  • 7. Measure of concentration
  • 8. Measure of concentration for interval data
  • 9. Basic terms of probability theory
  • 10. Some distribution of discrete type
  • 11. Some distribution of continuous type
  • 12. Some limit theorems
Literature
    required literature
  • Mario F. Triola. Elementary Statistics. Boston: Addison Wesley, 2003. 864 s. ISBN 0-8053-0271-9.
  • Hossein Pishro-Nik. Introduction to Probability, Statistics, and Random Processes. New York: Karra Research LLC, 2014. 731 s. ISBN 978-0990637202.
    recommended 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, MS Excel will be presented to the students. Compulsory seminar participation is 75 % in full-time study, compulsory tutorial participation is 50 % in part-time study.
Assessment methods
The course is completed with a credit: 1 written test, it is necessary to obtain at least 60 % of points.
Language of instruction
English
Further Comments
The course can also be completed outside the examination period.
The course is also listed under the following terms summer 2012, Summer 2013, Summer 2014, Summer 2015, Summer 2016, Summer 2017, Summer 2018, Summer 2019, Summer 2020.
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