UIAI017 Statistics

Faculty of Philosophy and Science in Opava
Summer 2021
Extent and Intensity
2/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Čermák, Ph.D. (lecturer)
RNDr. Jiří Martinů, Ph.D. (seminar tutor)
Guaranteed by
doc. Ing. Petr Čermák, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course brings basic background to modern statistics which is used in public administration. The first goal of this course is to acquaint students with methodologies of data collecting followed by their processing as statistical files, basics of creating and reading statistical tables and charts, interpretation of descriptors of statistical files. Furthermore, the course also explains basis of regression and correlation analysis which represent basic descriptors to analysis relations among statistical data and practical using statistics to data analysis. Also are discussed the most important probabilistic models, chiefly normal distribution and statistical induction, problem of statistical hypothesis and finally principle time-series, their analysis, prediction and trends of indexing and data clustering.
Syllabus
  • 1. Basic statistical terms, statistical files, role of data in statistics, quantitative data
    2. Basic operations in statistics, basic descriptors and their relation
    3. Regression and correlation analysis
    4. Elementary terms in probability theory
    5. Probabilistic models, basics of statistical induction and hypotheses testing
    6. Introduction to time-series and modern indexing methods
Literature
    required literature
  • Otipka, P., Šmajstrla, V. PRAVDĚPODOBNOST A STATISTIKA. Ostrava, 2013. URL info
    recommended literature
  • Ramík, J., Čemerková, Š. Statistika A, Statistika B. Karviná, 2000. info
  • Likeš, J., Cyhelský, L., Hindls, R. Statistika A. Praha, 1994. info
  • Novák, I., Seger, J., Zychová, L. Statistika B. Praha, 1992. info
  • Wonnacot, T., Wonnacot, R. Statistika pro obchod a hospodářství. Praha, 1992. info
  • Cyhelský, L., Kaňoková, J., Novák, I. Základy teorie statistiky pro ekonomy. Praha, 1979. info
  • Swoboda, H. Moderní statistika. Praha, 1977. info
Teaching methods
Interactive lecture
Lecture with a video analysis
Assessment methods
Exam
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
Teacher's information
* 75% attendance in exercises, active participation
* 40 points exercise (written test), 60 points exam
* Success rate min 51 points
The course is also listed under the following terms Summer 2013, Summer 2014, Summer 2015, Summer 2016, Summer 2017, Summer 2018, Summer 2019, Summer 2020.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2021/UIAI017