BA_PrSt Probability and Statistics

Vysoká škola finanční a správní
zima 2019
Rozsah
2/1/0. 10 hodin KS/semestr. 5 kr. Ukončení: zk.
Vyučující
PaedDr. Renata Majovská, PhD. (cvičící)
Garance
PaedDr. Renata Majovská, PhD.
Katedra informatiky a matematiky (FES, KIM) – Katedry – Vysoká škola finanční a správní
Kontaktní osoba: Ivana Plačková
Rozvrh seminárních/paralelních skupin
BA_PrSt/cBMPH: každou lichou středu 17:30–18:14 E225, každou lichou středu 18:15–19:00 E225, R. Majovská
BA_PrSt/pBMPH: St 15:45–16:29 E225, St 16:30–17:15 E225, R. Majovská
Předpoklady
There are no prerequisites for this course.
Omezení zápisu do předmětu
Předmět je otevřen studentům libovolného oboru.
Cíle předmětu
After completing the course students will be able to use basic terms of descriptive statistics. They will understand the problems of statistical surveys, process data, know the differences between simple and interval frequency distribution and they will also recognize, in which case the simple frequency distribution is used 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. They will be able to use the basic terms of probability theory, the operations with random phenomena and the principles of computation of probability random phenomenon. In the field of random variable, students will know some discrete and continuous probability distributions and the selected limit theorems. They will know the definition of random sample.
Výstupy z učení
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.
Osnova
  • 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
Literatura
    povinná literatura
  • ZÁŠKODNÝ, Přemysl. The Principles of Probability and Statistics (Data Mining Approach). Praha: Curriculum, 2012, 122 s. ISBN 978-80-904948-6-2. info
  • 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.
    doporučená literatura
  • BÍLKOVÁ, Diana, Petr BUDINSKÝ a Václav VOHÁNKA. Pravděpodobnost a statistika. 1. vydání. Plzeň: Vydavatelství a nakladatelství Aleš Čeněk, s.r.o, 2009, 658 s. ISBN 978-80-7380-224-0. info
Výukové metody
Lectures and seminars in full-time study; tutorials in part-time study; data-projector is used in teaching; MS Excel will be presented to the students. Minimum mandatory attendance at seminars in full-time is 75 %, at tutorials in part-time study 50 %.
Metody hodnocení
Course ending: Credit: 1 written test, it is necessary to obtain at least 50 % of points from the test; Exam: written test - it is necessary to obtain at least 60 % of points from the test; oral examination - student will answer 2 theoretical questions.
Vyučovací jazyk
Angličtina
Další komentáře
Předmět je dovoleno ukončit i mimo zkouškové období.
Předmět je zařazen také v obdobích zima 2016, zima 2017, zima 2018, zima 2020, zima 2021, zima 2022.